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6835659 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | import random
import numpy as np
import torch
def set_global_seed(seed: int = 42) -> None:
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
if torch.cuda.is_available():
torch.cuda.manual_seed_all(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
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