def create_callable_acgan_model(): return train.acgan_model( Generator(), ACGANDiscriminator(), real_data=array_ops.zeros([1, 2]), generator_inputs=random_ops.random_normal([1, 2]), one_hot_labels=array_ops.one_hot([0, 1, 2], 10))