Generalize device declaration in mnist_hogwild and reinforcement_learning - #1423
Generalize device declaration in mnist_hogwild and reinforcement_learning#1423pgmoka wants to merge 2 commits into
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| # Set the device to run on | ||
| if use_accel: | ||
| device = torch.accelerator.current_accelerator() | ||
| else: | ||
| device = torch.device('cpu') |
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device = torch.accelerator.current_accelerator() or torch.device('cpu')
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| def select_action(state): | ||
| state = torch.from_numpy(state).float() | ||
| state = torch.from_numpy(state).float().to(device) |
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can we do .to(dtype=torch.float, device=device)?
| use_accel = not args.no_accel and torch.accelerator.is_available() | ||
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| # Set the device to run on | ||
| if use_accel: | ||
| device = torch.accelerator.current_accelerator() | ||
| else: | ||
| device = torch.device("cpu") | ||
| device = torch.device('cpu') |
2 participants
Updates device initialization in
mnist_hogwildandreinforcement_learningexamples to usetorch.accelerator.current_accelerator()following the pattern ingat/main.py.