1# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Utils for writing tests."""
16
17from __future__ import absolute_import
18from __future__ import division
19from __future__ import print_function
20
21from tensorflow.python.platform import test
22from tensorflow.python.training import coordinator
23from tensorflow.python.training import queue_runner_impl
24
25
26class Base(test.TestCase):
27  """A class with some useful methods for testing."""
28
29  def eval(self, tensors):
30    with self.cached_session() as sess:
31      coord = coordinator.Coordinator()
32      threads = queue_runner_impl.start_queue_runners(sess=sess, coord=coord)
33
34      try:
35        results = sess.run(tensors)
36      finally:
37        coord.request_stop()
38        coord.join(threads)
39
40      return results
41
42  def assertTensorsEqual(self, tensor_0, tensor_1):
43    [tensor_0_eval, tensor_1_eval] = self.eval([tensor_0, tensor_1])
44    self.assertAllEqual(tensor_0_eval, tensor_1_eval)
45
46  def assertLabeledTensorsEqual(self, tensor_0, tensor_1):
47    self.assertEqual(tensor_0.axes, tensor_1.axes)
48    self.assertTensorsEqual(tensor_0.tensor, tensor_1.tensor)
49