16 lines
383 B
Python
16 lines
383 B
Python
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def seed_everything(seed: int, seed_cudnn=False):
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import random, os
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import numpy as np
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import torch
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random.seed(seed)
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os.environ['PYTHONHASHSEED'] = str(seed)
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np.random.seed(seed)
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torch.manual_seed(seed)
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torch.cuda.manual_seed(seed)
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if seed_cudnn:
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torch.backends.cudnn.deterministic = True
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torch.backends.cudnn.benchmark = True
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