output.log

wandb:   1 of 1 files downloaded.
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/opt/conda/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm
Sequences will be extracted from columns ['chrom', 'start', 'end']
Labels are being treated as class names for multiclass classification.
Sequences will be extracted from columns ['chrom', 'start', 'end']
Labels are being treated as class names for multiclass classification.
2230362 163688
(2230362, 16, 1)
[[0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
wandb: WARNING Calling wandb.login() after wandb.init() has no effect.
wandb: Downloading large artifact human_state_dict:latest, 939.29MB. 1 files...
wandb:   1 of 1 files downloaded.
Done. 0:0:0.7
/opt/conda/lib/python3.11/site-packages/grelu/model/models.py:771: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  state_dict = torch.load(Path(d) / "human.h5")
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
/opt/conda/lib/python3.11/site-packages/pytorch_lightning/loggers/wandb.py:397: There is a wandb run already in progress and newly created instances of `WandbLogger` will reuse this run. If this is not desired, call `wandb.finish()` before instantiating `WandbLogger`.
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
Validation DataLoader 0: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 320/320 [00:46<00:00,  6.87it/s]
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]

  | Name         | Type                    | Params | Mode
-----------------------------------------------------------------
0 | model        | EnformerPretrainedModel | 71.5 M | train
1 | loss         | CrossEntropyLoss        | 0      | train
2 | activation   | Softmax                 | 0      | train
3 | val_metrics  | MetricCollection        | 0      | train
4 | test_metrics | MetricCollection        | 0      | train
5 | transform    | Identity                | 0      | train
-----------------------------------------------------------------
71.5 M    Trainable params
0         Non-trainable params
71.5 M    Total params
285.968   Total estimated model params size (MB)
239       Modules in train mode
0         Modules in eval mode
Epoch 9: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4357/4357 [30:47<00:00,  2.36it/s, v_num=9dx7, train_loss_step=2.090, train_loss_epoch=2.210]
/opt/conda/lib/python3.11/site-packages/torchmetrics/utilities/prints.py:43: UserWarning: No positive samples in targets, true positive value should be meaningless. Returning zero tensor in true positive score
  warnings.warn(*args, **kwargs)  # noqa: B028
/opt/conda/lib/python3.11/site-packages/torchmetrics/utilities/prints.py:43: UserWarning: No negative samples in targets, false positive value should be meaningless. Returning zero tensor in false positive score
  warnings.warn(*args, **kwargs)  # noqa: B028
Sequences will be extracted from columns ['chrom', 'start', 'end']                                                                                                                                                                         
`Trainer.fit` stopped: `max_epochs=10` reached.
wandb: WARNING Calling wandb.login() after wandb.init() has no effect.
wandb: Downloading large artifact human_state_dict:latest, 939.29MB. 1 files...
wandb:   1 of 1 files downloaded.
Done. 0:0:0.7
/opt/conda/lib/python3.11/site-packages/grelu/model/models.py:771: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  state_dict = torch.load(Path(d) / "human.h5")
Labels are being treated as class names for multiclass classification.
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
Testing DataLoader 0: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 363/363 [00:52<00:00,  6.89it/s]
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
HPU available: False, using: 0 HPUs
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3,4,5,6,7]
Predicting DataLoader 0: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 182/182 [01:53<00:00,  1.61it/s]
wandb: WARNING No relevant files were detected in the specified directory. No code will be logged to your run.