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gurucharanmk/torch_deterministic.py

Created April 2, 2020 12:39
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Utility function to get deterministic results for PyToch executions
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torch_deterministic.py
import random
import os
import torch
import numpy as np
def set_seed(seed):
random.seed(seed)
os.environ['PYTHONHASHSEED'] = str(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
torch.backends.cudnn.benchmark = False
torch.backends.cudnn.deterministic = True
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