Pytorch、Tensorflow训练结果的复现

通过设置全局随机种子，使得每次的训练结果相同可以复现

PyTorch

def seed_torch(seed=42):
    seed = int(seed)
    random.seed(seed)
    os.environ[‘PYTHONHASHSEED’] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.cuda.manual_seed_all(seed)
    torch.backends.cudnn.deterministic = True
    torch.backends.cudnn.benchmark = False

Tensorflow

def seed_tensorflow(seed=42):
    random.seed(seed)
    os.environ[‘PYTHONHASHSEED’] = str(seed)
    np.random.seed(seed)
    tf.set_random_seed(seed)