aed5816434e217977c3cd12f6f90c52076ea2b4a,cleverhans/utils.py,,random_targets,#Any#Any#,78

Before Change

        in_cl = gt == class_ind
        result[in_cl] = np.random.choice(other_classes(nb_classes, class_ind))

    return tf.contrib.keras.utils.to_categorical(result, nb_classes)


def pair_visual(original, adversarial, figure=None):
    

After Change

        result[in_cl] = np.random.choice(potential_targets, size=size)

    // Encode vector of random labels as one-hot labels.
    result = tf.contrib.keras.utils.to_categorical(result, nb_classes)
    result = result.astype(np.int32)

    return result

Instances