Created
October 8, 2023 18:30
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reproducibility
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| def seed_everything(seed: int): | |
| import random, os | |
| import numpy as np | |
| import torch | |
| random.seed(seed) | |
| os.environ['PYTHONHASHSEED'] = str(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| torch.cuda.manual_seed(seed) | |
| torch.backends.cudnn.deterministic = True | |
| torch.backends.cudnn.benchmark = True | |
| seed_everything(seed=42) |
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