def test_transformer_get_config_has_all_attributes(): block = blocks.Transformer() config = block.get_config() assert utils.get_func_args(blocks.Transformer.__init__).issubset( config.keys())
def test_transformer_build_return_tensor(): block = blocks.Transformer() outputs = block.build(keras_tuner.HyperParameters(), tf.keras.Input(shape=(64, ), dtype=tf.float32)) assert len(nest.flatten(outputs)) == 1
def test_transformer_deserialize_to_transformer(): serialized_block = blocks.serialize(blocks.Transformer()) block = blocks.deserialize(serialized_block) assert isinstance(block, blocks.Transformer)