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Since I trained the corresponding model weights on the server, how do I specify the corresponding loaded GPU ID on my own single GPU machine?
The text was updated successfully, but these errors were encountered:
you can setup device in yaml config. But by default it is just 'cuda' so it should choose your only device.
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@Denys88 Thanks for your reply!
Setting up device in yaml config does not work!
The reason is return safe_filesystem_op(torch.load, filename) in torch_ext.py don't specify device!
return safe_filesystem_op(torch.load, filename)
Do you have any suggestions?
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Since I trained the corresponding model weights on the server, how do I specify the corresponding loaded GPU ID on my own single GPU machine?
The text was updated successfully, but these errors were encountered: