feature_column_ops_test.py 文件源码

def testWeightedSparseColumnFailsForDNN(self):
    ids = tf.contrib.layers.sparse_column_with_keys(
        "ids", ["marlo", "omar", "stringer"])
    ids_tensor = tf.SparseTensor(values=["stringer", "stringer", "marlo"],
                                 indices=[[0, 0], [1, 0], [1, 1]],
                                 shape=[2, 2])
    weighted_ids = tf.contrib.layers.weighted_sparse_column(ids, "weights")
    weights_tensor = tf.SparseTensor(values=[10.0, 20.0, 30.0],
                                     indices=[[0, 0], [1, 0], [1, 1]],
                                     shape=[2, 2])
    features = {"ids": ids_tensor,
                "weights": weights_tensor}
    with self.test_session():
      with self.assertRaisesRegexp(
          ValueError,
          "Error creating input layer for column: ids_weighted_by_weights"):
        tf.initialize_all_tables().run()
        tf.contrib.layers.input_from_feature_columns(features, [weighted_ids])