Created
May 20, 2025 16:15
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Striving for reproducibility in pytorch (many seeds)
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| import random | |
| import numpy as np | |
| def set_seeds(seed=42): | |
| random.seed(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| torch.cuda.manual_seed(seed) | |
| torch.cuda.manual_seed_all(seed) # for multi-GPU | |
| torch.backends.cudnn.deterministic = True | |
| torch.backends.cudnn.benchmark = False |
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