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Choose the right Pytorch device always
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| def torch_device(priority=['xla', 'cuda', 'mps', 'xpu', 'cpu']): | |
| import torch | |
| t = torch.Tensor([0]) | |
| for device in map(torch.device, priority): | |
| try: | |
| t.to(device) | |
| return device | |
| except (RuntimeError, AssertionError): | |
| pass |
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