tf固定随机数

tersorflow: Model not deterministic
How to get stable results with TensorFlow, setting random seed
Realizing reproducible Machine Learning - with Tensorflow

固定随机数种子后，bpr训练loss减小，但是测试指标下降。

def random_seed(seed):
    os.environ['PYTHONHASHSEED'] = str(seed) # Python general
    np.random.seed(seed)
    random.seed(seed) # Python random
    tf.random.set_seed(seed)
    os.environ['TF_DETERMINISTIC_OPS'] = '1'
# Fix seeds
random_seed(0)