zudvin

5 minut video crash learning

Oct 9th, 2022
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  1. emotionnet-worker-audio | [2022-10-09 22:57:36,118: WARNING/ForkPoolWorker-2] X_test:(15, 128, 517), Y_test:(15,)
  2. emotionnet-worker-audio | [2022-10-09 22:57:36,178: WARNING/ForkPoolWorker-2]
  3. emotionnet-worker-audio | Selected device is cpu
  4. emotionnet-worker-audio | [2022-10-09 22:57:36,189: WARNING/ForkPoolWorker-2] Number of trainable params:
  5. emotionnet-worker-audio | [2022-10-09 22:57:36,189: WARNING/ForkPoolWorker-2]
  6. emotionnet-worker-audio | [2022-10-09 22:57:36,190: WARNING/ForkPoolWorker-2] 394855
  7.   0%|          | 0/10 [00:00<?, ?it/s]22:57:36,190: WARNING/ForkPoolWorker-2]
  8. emotionnet-worker-audio | [2022-10-09 22:57:36,190: WARNING/ForkPoolWorker-2]
  9. emotionnet-worker-audio |       Start training 10 epoches...
  10.   0%|          | 0/10 [00:00<?, ?it/s]22:57:36,370: WARNING/ForkPoolWorker-2]
  11. emotionnet-worker-audio | [2022-10-09 22:57:36,409: ERROR/ForkPoolWorker-2] Task train_audio[f9d7121c-10db-45db-a953-61026dd193fe] raised unexpected: RuntimeError('The size of tensor a (7) must match the size of tensor b (8) at non-singleton dimension 1')
  12. emotionnet-worker-audio | Traceback (most recent call last):
  13. emotionnet-worker-audio |   File "/usr/local/lib/python3.8/site-packages/celery/app/trace.py", line 451, in trace_task
  14. emotionnet-worker-audio |     R = retval = fun(*args, **kwargs)
  15. emotionnet-worker-audio |   File "/usr/local/lib/python3.8/site-packages/celery/app/trace.py", line 734, in __protected_call__
  16. emotionnet-worker-audio |     return self.run(*args, **kwargs)
  17. emotionnet-worker-audio |   File "/code/app/worker.py", line 208, in create_task_train_audio
  18. emotionnet-worker-audio |     result = train(
  19. emotionnet-worker-audio |   File "/code/ml/train_audio.py", line 565, in train
  20. emotionnet-worker-audio |     loss, acc = train_step(X_tensor, Y_tensor)
  21. emotionnet-worker-audio |   File "/code/ml/train_audio.py", line 134, in train_step
  22. emotionnet-worker-audio |     loss = loss_fnc(output_logits, Y)
  23. emotionnet-worker-audio |   File "/code/ml/train_audio.py", line 528, in loss_fnc
  24. emotionnet-worker-audio |     return nn.L1Loss()(input=predictions, target=targets)
  25. emotionnet-worker-audio |   File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
  26. emotionnet-worker-audio |     return forward_call(*input, **kwargs)
  27. emotionnet-worker-audio |   File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/loss.py", line 96, in forward
  28. emotionnet-worker-audio |     return F.l1_loss(input, target, reduction=self.reduction)
  29. emotionnet-worker-audio |   File "/usr/local/lib/python3.8/site-packages/torch/nn/functional.py", line 3248, in l1_loss
  30. emotionnet-worker-audio |     expanded_input, expanded_target = torch.broadcast_tensors(input, target)
  31. emotionnet-worker-audio |   File "/usr/local/lib/python3.8/site-packages/torch/functional.py", line 73, in broadcast_tensors
  32. emotionnet-worker-audio |     return _VF.broadcast_tensors(tensors)  # type: ignore[attr-defined]
  33. emotionnet-worker-audio | RuntimeError: The size of tensor a (7) must match the size of tensor b (8) at non-singleton dimension 1
  34.  
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