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billfjj avatar billfjj commented on June 12, 2024 1

I tried, but reported an error
b62572fc497f1d8b15f3be2dabf5880

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lkeab avatar lkeab commented on June 12, 2024

hi, you can modify the nproc_per_node number from 8 to 1 here

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ymq2017 avatar ymq2017 commented on June 12, 2024

This looks like a torch version problem. Different versions have different definitions between local_rank and local-rank. You could try one of these methods.

  1. Use a lower version of PyTorch
  2. Use torchrun to replace python -m torch.distributed.launch

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billfjj avatar billfjj commented on June 12, 2024

This is my version of PyTorch, pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.7. But it still gives an error
image
Is it because of Windows? Have you ever trained on Windows?

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vishakhalall avatar vishakhalall commented on June 12, 2024

I fixed this issue by finding the correct compatible version of pytorch, found the CUDA version using nvcc --version and found the compatible version of PyTorch https://pytorch.org/get-started/previous-versions/

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