You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Running on GPU? True - gpu_num: 0
Train round: 0% 0/45 [00:00<?, ?batch/s]tensor([[ 0.0504, -0.0277, -0.0015],
[-0.1052, -0.0144, 0.0084],
[-0.1097, 0.0798, 0.0005],
[-0.0701, -0.0238, -0.0405],
[-0.0034, 0.0291, 0.0478],
[-0.0992, 0.0290, -0.0440],
[-0.1483, -0.0215, -0.0354],
[-0.0660, 0.0021, -0.0198]], device='cuda:0',
grad_fn=)
tensor([2, 1, 2, 2, 1, 1, 2, 1], device='cuda:0')
Traceback (most recent call last):
File "/content/drive/MyDrive/MHyEEG-main-share/MHyEEG-main/main.py", line 88, in
main(args, n_workers)
File "/content/drive/MyDrive/MHyEEG-main-share/MHyEEG-main/main.py", line 47, in main
trainer.train(train_loader, eval_loader)
File "/content/drive/MyDrive/MHyEEG-main-share/MHyEEG-main/training.py", line 92, in train
loss = self.criterion(outputs, labels)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/loss.py", line 1185, in forward
return F.cross_entropy(input, target, weight=self.weight,
File "/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py", line 3086, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
RuntimeError: weight tensor should be defined either for all 3 classes or no classes but got weight tensor of shape: [2]
wandb: 🚀 View run proud-leaf-49 at: https://wandb.ai/vanshuagarwal11-03-SRM%20Institute%20of%20Science%20and%20Technology/MHyEEG/runs/0am4ciyg
wandb: ⭐️ View project at: https://wandb.ai/vanshuagarwal11-03-SRM%20Institute%20of%20Science%20and%20Technology/MHyEEG
wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240708_111041-0am4ciyg/logs
wandb: WARNING The new W&B backend becomes opt-out in version 0.18.0; try it out with wandb.require("core")! See https://wandb.me/wandb-core for more information.
The text was updated successfully, but these errors were encountered:
While running the main file I am getting this error.
----Loading dataset----
Dataset: MAHNOB-HCI
#Traning samples: 360
#Validation samples: 3
#Training distribution: [210 150]
wandb: Currently logged in as: vanshuagarwal11-03 (vanshuagarwal11-03-SRM Institute of Science and Technology). Use
wandb login --relogin
to force reloginwandb: Tracking run with wandb version 0.17.4
wandb: Run data is saved locally in /content/wandb/run-20240708_111041-0am4ciyg
wandb: Run
wandb offline
to turn off syncing.wandb: Syncing run proud-leaf-49
wandb: ⭐️ View project at https://wandb.ai/vanshuagarwal11-03-SRM%20Institute%20of%20Science%20and%20Technology/MHyEEG
wandb: 🚀 View run at https://wandb.ai/vanshuagarwal11-03-SRM%20Institute%20of%20Science%20and%20Technology/MHyEEG/runs/0am4ciyg
Number of parameters: 19663747
Running on GPU? True - gpu_num: 0
Train round: 0% 0/45 [00:00<?, ?batch/s]tensor([[ 0.0504, -0.0277, -0.0015],
[-0.1052, -0.0144, 0.0084],
[-0.1097, 0.0798, 0.0005],
[-0.0701, -0.0238, -0.0405],
[-0.0034, 0.0291, 0.0478],
[-0.0992, 0.0290, -0.0440],
[-0.1483, -0.0215, -0.0354],
[-0.0660, 0.0021, -0.0198]], device='cuda:0',
grad_fn=)
tensor([2, 1, 2, 2, 1, 1, 2, 1], device='cuda:0')
Traceback (most recent call last):
File "/content/drive/MyDrive/MHyEEG-main-share/MHyEEG-main/main.py", line 88, in
main(args, n_workers)
File "/content/drive/MyDrive/MHyEEG-main-share/MHyEEG-main/main.py", line 47, in main
trainer.train(train_loader, eval_loader)
File "/content/drive/MyDrive/MHyEEG-main-share/MHyEEG-main/training.py", line 92, in train
loss = self.criterion(outputs, labels)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/loss.py", line 1185, in forward
return F.cross_entropy(input, target, weight=self.weight,
File "/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py", line 3086, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)
RuntimeError: weight tensor should be defined either for all 3 classes or no classes but got weight tensor of shape: [2]
wandb: 🚀 View run proud-leaf-49 at: https://wandb.ai/vanshuagarwal11-03-SRM%20Institute%20of%20Science%20and%20Technology/MHyEEG/runs/0am4ciyg
wandb: ⭐️ View project at: https://wandb.ai/vanshuagarwal11-03-SRM%20Institute%20of%20Science%20and%20Technology/MHyEEG
wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240708_111041-0am4ciyg/logs
wandb: WARNING The new W&B backend becomes opt-out in version 0.18.0; try it out with
wandb.require("core")
! See https://wandb.me/wandb-core for more information.The text was updated successfully, but these errors were encountered: