cdf52a41ffadabbd505c45919bb29503ae0820b8,cleverhans/utils_tf.py,,model_train,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,43

Before Change

    // Define optimizer
    loss_value = loss.fprop(x, y, **fprop_args)
    train_step = tf.train.AdamOptimizer(learning_rate=args.learning_rate)
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        train_step = train_step.minimize(loss_value, var_list=var_list)

    with sess.as_default():

After Change

    // Define loss
    loss = model_loss(y, predictions)
    if predictions_adv is not None:
        loss = (loss + model_loss(y, predictions_adv)) / 2

    train_step = tf.train.AdamOptimizer(learning_rate=args.learning_rate)
    train_step = train_step.minimize(loss, var_list=var_list)

    with sess.as_default():

Instances