Refine lib -> xautodl
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		| @@ -470,7 +470,7 @@ if __name__ == "__main__": | ||||
|     assert torch.cuda.is_available(), "CUDA is not available." | ||||
|     torch.backends.cudnn.enabled = True | ||||
|     torch.backends.cudnn.deterministic = True | ||||
|     torch.set_num_threads(args.workers) | ||||
|     # torch.set_num_threads(args.workers) | ||||
|  | ||||
|     main( | ||||
|         save_dir, | ||||
|   | ||||
| @@ -340,7 +340,7 @@ def train_single_model( | ||||
|     torch.backends.cudnn.enabled = True | ||||
|     torch.backends.cudnn.deterministic = True | ||||
|     # torch.backends.cudnn.benchmark = True | ||||
|     torch.set_num_threads(workers) | ||||
|     # torch.set_num_threads(workers) | ||||
|  | ||||
|     save_dir = ( | ||||
|         Path(save_dir) | ||||
| @@ -675,7 +675,7 @@ if __name__ == "__main__": | ||||
|         assert torch.cuda.is_available(), "CUDA is not available." | ||||
|         torch.backends.cudnn.enabled = True | ||||
|         torch.backends.cudnn.deterministic = True | ||||
|         torch.set_num_threads(args.workers if args.workers > 0 else 1) | ||||
|         # torch.set_num_threads(args.workers if args.workers > 0 else 1) | ||||
|  | ||||
|         main( | ||||
|             save_dir, | ||||
|   | ||||
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