### [bt]: This is batchtools v0.9.15
### [bt]: Starting calculation of 1 jobs
### [bt]: Setting working directory to '/projects/genomic-ml/projects/max-generalized-auc'
### [bt]: Memory measurement disabled
### [bt]: Starting job [batchtools job.id=92]
### [bt]: Setting seed to 148 ...
/home/th798/.conda/envs/emacs1/lib/python3.7/site-packages/deprecate/deprecation.py:115: LightningDeprecationWarning: The `AUROC` was deprecated since v1.3.0 in favor of `torchmetrics.classification.auroc.AUROC`. It will be removed in v1.5.0.
  stream(template_mgs % msg_args)
/home/th798/.conda/envs/emacs1/lib/python3.7/site-packages/torchmetrics/utilities/prints.py:36: UserWarning: Metric `AUROC` will save all targets and predictions in buffer. For large datasets this may lead to large memory footprint.
  warnings.warn(*args, **kwargs)
/home/th798/.conda/envs/emacs1/lib/python3.7/site-packages/torchvision/datasets/mnist.py:498: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at  /opt/conda/conda-bld/pytorch_1631630742027/work/torch/csrc/utils/tensor_numpy.cpp:180.)
  return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)
/home/th798/.conda/envs/emacs1/lib/python3.7/site-packages/torchmetrics/utilities/prints.py:36: UserWarning: `pos_label` automatically set 1.
  warnings.warn(*args, **kwargs)
torch.Size([712, 1, 28, 28])
('MNIST', 'subtrain', 24712)
('MNIST', 'validation', 6179)
('MNIST', 'test', 10000)
('FashionMNIST', 'subtrain', 24240)
('FashionMNIST', 'validation', 6060)
('FashionMNIST', 'test', 10000)
['AUM_rate', '3', '0.1', 'MNIST', '1000']
{0: tensor(24483), 1: tensor(229)}
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### [bt]: Job terminated successfully [batchtools job.id=92]
### [bt]: Calculation finished!