test_tensorrec.py 文件源码

def test_custom_repr_graph(self):
        # Define a custom representation function graph
        def build_tanh_representation_graph(tf_features, n_components, n_features, node_name_ending):
            tf_tanh_weights = tf.Variable(tf.random_normal([n_features, n_components],
                                                           stddev=.5),
                                          name='tanh_weights_%s' % node_name_ending)

            tf_repr = tf.nn.tanh(tf.sparse_tensor_dense_matmul(tf_features, tf_tanh_weights))

            # Return repr layer and variables
            return tf_repr, [tf_tanh_weights]

        # Build a model with the custom representation function
        model = TensorRec(user_repr_graph=build_tanh_representation_graph,
                          item_repr_graph=build_tanh_representation_graph)

        self.assertIsNotNone(model)