2022-11-29 05:00:30 +00:00
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import random
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import numpy as np
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import torch
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def seed_all(seed, cuda_deterministic=False):
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random.seed(seed)
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np.random.seed(seed)
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torch.manual_seed(seed)
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if torch.cuda.is_available():
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torch.cuda.manual_seed(seed)
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torch.cuda.manual_seed_all(seed)
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2023-09-19 06:20:26 +00:00
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if cuda_deterministic: # slower, more reproducible
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2022-11-29 05:00:30 +00:00
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torch.backends.cudnn.deterministic = True
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torch.backends.cudnn.benchmark = False
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else:
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torch.backends.cudnn.deterministic = False
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torch.backends.cudnn.benchmark = True
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