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How to specify the GPU that loads the model weights when applying to IsaacGym
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?
you can setup device in yaml config. But by default it is just 'cuda' so it should choose your only device.
@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!
Do you have any suggestions?