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ground0state/seed_torch.py

Created September 3, 2020 13:00
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seed_torch.py
import os
import random
import numpy as np
import torch
def set_seed(seed: int = 42):
random.seed(seed)
np.random.seed(seed)
os.environ["PYTHONHASHSEED"] = str(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = True
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