Refine lib -> xautodl
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@@ -665,7 +665,7 @@ if __name__ == "__main__":
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len(args.datasets), len(args.xpaths), len(args.splits)
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)
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)
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if args.workers <= 0:
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if args.workers < 0:
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raise ValueError("invalid number of workers : {:}".format(args.workers))
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target_indexes = filter_indexes(
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@@ -675,7 +675,7 @@ if __name__ == "__main__":
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assert torch.cuda.is_available(), "CUDA is not available."
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torch.backends.cudnn.enabled = True
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torch.backends.cudnn.deterministic = True
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torch.set_num_threads(args.workers)
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torch.set_num_threads(args.workers if args.workers > 0 else 1)
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main(
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save_dir,
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