def METHOD_NAME(self):
    model_params = dict(
        attention='regular',
        decoder_layer_configs=[
            dict(
                num_units=32,
            ),
            dict(
                num_units=32,
            ),
            dict(
                num_units=32,
            ),
        ],
        encoder_type=dict(
            encoder_layer_configs=[
                dict(
                    num_units=32,
                ),
            ],
            use_bidirectional_encoder=False,
        ),
        encoder_embedding_size=8,
        decoder_embedding_size=8,
        decoder_softmax_size=None,
    )
    self._run_compare_train_inference(model_params)