feature_column_ops_test.py 文件源码

def testWeightedSparseColumn(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}
    logits, _, _ = tf.contrib.layers.weighted_sum_from_feature_columns(
        features, [weighted_ids], num_outputs=5)
    with self.test_session():
      tf.global_variables_initializer().run()
      tf.initialize_all_tables().run()
      self.assertAllEqual(logits.eval().shape, [2, 5])