❓ Questions and Help

Different results occur when I run the same code twice. And the set_seed func run before all.

def set_seed(seed):
    random.seed(seed)  # Python random module.
    np.random.seed(seed)  # Numpy module.
    set_seed(seed)
    os.environ['PYTHONHASHSEED'] = str(seed)
    torch.random.manual_seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.cuda.manual_seed_all(seed)  # if you are using multi-GPU.
    torch.backends.cudnn.benchmark = cudnn_benchmark
    torch.backends.cudnn.deterministic = cudnn_deterministic