b6e769bb30485eefa37dee5a8bb1ef3ff81c6bd0,cleverhans_tutorials/mnist_tutorial_cw.py,,mnist_tutorial_cw,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,39

Before Change

        "nb_epochs": nb_epochs,
        "batch_size": batch_size,
        "learning_rate": learning_rate,
        "train_dir": os.path.join(*os.path.split(model_path)[:-1]),
        "filename": os.path.split(model_path)[-1]
    }

After Change

    else:
        train(sess, loss, x, y, x_train, y_train, args=train_params, rng=rng)
        saver = tf.train.Saver()
        saver.save(sess, model_path)

    // Evaluate the accuracy of the MNIST model on legitimate test examples
    eval_params = {"batch_size": batch_size}
    accuracy = model_eval(sess, x, y, preds, x_test, y_test, args=eval_params)

Instances