Source code for stark_qa.tools.seed

import torch
import random
import numpy as np


[docs]def set_seed(seed): """Sets seed""" if torch.cuda.is_available(): torch.cuda.manual_seed(seed) torch.manual_seed(seed) random.seed(seed) np.random.seed(seed) torch.backends.cudnn.benchmark = False torch.backends.cudnn.deterministic = True