def METHOD_NAME():
    block = blocks.TemporalReduction()
    input_node = keras.Input(shape=(32,), dtype=tf.float32)
    outputs = block.build(
        keras_tuner.HyperParameters(),
        input_node,
    )
    assert len(nest.flatten(outputs)) == 1
    assert nest.flatten(outputs)[0] is input_node