6b9e25994574da46d8a218571fdff5d6ca22f0b0,cleverhans_tutorials/mnist_tutorial_keras_tf.py,,mnist_tutorial,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,22

Before Change

    // Set TF random seed to improve reproducibility
    tf.set_random_seed(1234)
    random.seed(1234)

    if not hasattr(backend, "tf"):
        raise RuntimeError("This tutorial requires keras to be configured"
                           " to use the TensorFlow backend.")

After Change

    ckpt = tf.train.get_checkpoint_state(train_dir)
    ckpt_path = False if ckpt is None else ckpt.model_checkpoint_path

    rng = np.random.RandomState([2017, 8, 30])
    if load_model and ckpt_path:
        saver = tf.train.Saver()
        saver.restore(sess, ckpt_path)
        print("Model loaded from: {}".format(ckpt_path))

Instances