[Python] random seed random/numpy/pytorch/pytorch.cuda

Setting up a random seed can ensure that the initial value of the random number is the same in each experiment;
that is, it can ensure that each experiment is in the same initial state;

import random, torch
import numpy as np

seed = 1

random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)

Where seed = 1 represents the random value numbered 1, which is a set of random values;
it can also be replaced with other integer numbers, such as 123, 456, etc.;
usually, different random seed values ​​represent different experimental groups;