run_randn.py

#!/usr/bin/env python3
import torch

def get_random():
    return torch.randn((2,2))

seeds = []
for _ in range(5):
    num = get_random()
    seeds.append(torch.initial_seed())
    print(num)

print("Seeds should be different, but are not", seeds)