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)