Source code for xma.utils.random
# **************************************************
# Copyright (c) 2025, Mayank Mishra
# **************************************************
import random
import numpy as np
import torch
[docs]
def set_seed(seed: int) -> None:
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)