1# Copyright 2015 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"""Tests for tensorflow.ops.nn_ops.Cross."""
16
17from __future__ import absolute_import
18from __future__ import division
19from __future__ import print_function
20
21from tensorflow.python.ops import array_ops
22from tensorflow.python.ops import gradient_checker
23from tensorflow.python.ops import math_ops
24from tensorflow.python.platform import test
25
26
27class CrossOpTest(test.TestCase):
28
29  def testGradientRandomValues(self):
30    with self.test_session():
31      us = [2, 3]
32      u = array_ops.reshape(
33          [0.854, -0.616, 0.767, 0.725, -0.927, 0.159], shape=us)
34      v = array_ops.reshape(
35          [-0.522, 0.755, 0.407, -0.652, 0.241, 0.247], shape=us)
36      s = math_ops.cross(u, v)
37      jacob_u, jacob_v = gradient_checker.compute_gradient([u, v], [us, us], s,
38                                                           us)
39
40    self.assertAllClose(jacob_u[0], jacob_u[1], rtol=1e-3, atol=1e-3)
41    self.assertAllClose(jacob_v[0], jacob_v[1], rtol=1e-3, atol=1e-3)
42
43
44if __name__ == "__main__":
45  test.main()
46