feature_column_ops_test.py 文件源码

def testSparseColumnWithKeys(self):
    keys_sparse = tf.contrib.layers.sparse_column_with_keys(
        "wire", ["marlo", "omar", "stringer"])
    wire_tensor = tf.SparseTensor(values=["omar", "stringer", "marlo"],
                                  indices=[[0, 0], [1, 0], [1, 1]],
                                  shape=[2, 2])
    features = {"wire": wire_tensor}
    output = feature_column_ops._Transformer(features).transform(keys_sparse)
    with self.test_session():
      tf.initialize_all_tables().run()
      self.assertEqual(output.values.dtype, tf.int64)
      self.assertAllEqual(output.values.eval(), [1, 2, 0])
      self.assertAllEqual(output.indices.eval(), wire_tensor.indices.eval())
      self.assertAllEqual(output.shape.eval(), wire_tensor.shape.eval())