feature_column_ops_test.py 文件源码

def testMulticlassWithRealValuedColumn(self):
    with tf.Graph().as_default():
      column = tf.contrib.layers.real_valued_column("age")
      features = {"age": tf.constant([[10.], [20.], [30.], [40.]])}
      output, column_to_variable, _ = (
          tf.contrib.layers.weighted_sum_from_feature_columns(features,
                                                              [column],
                                                              num_outputs=3))
      with self.test_session() as sess:
        tf.initialize_all_variables().run()
        tf.initialize_all_tables().run()
        weights = column_to_variable[column][0]
        self.assertEqual(weights.get_shape(), (1, 3))
        sess.run(weights.assign([[0.01, 0.03, 0.05]]))
        self.assertAllClose(output.eval(), [[0.1, 0.3, 0.5], [0.2, 0.6, 1.0],
                                            [0.3, 0.9, 1.5], [0.4, 1.2, 2.0]])