• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1# Copyright 2019 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"""Test configs for logic operators."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import tensorflow.compat.v1 as tf
21from tensorflow.lite.testing.zip_test_utils import create_tensor_data
22from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
23from tensorflow.lite.testing.zip_test_utils import register_make_test_function
24
25
26def _make_logical_tests(op):
27  """Make a set of tests to do logical operations."""
28
29  def logical(options, expected_tf_failures=0):
30    """Generate examples."""
31    test_parameters = [{
32        "input_shape_pair": [([], []), ([1, 1, 1, 3], [1, 1, 1, 3]),
33                             ([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
34                             ([5, 5], [1]), ([10], [2, 4, 10])],
35    }]
36
37    def build_graph(parameters):
38      """Build the logical testing graph."""
39      input_value1 = tf.compat.v1.placeholder(
40          dtype=tf.bool, name="input1", shape=parameters["input_shape_pair"][0])
41      input_value2 = tf.compat.v1.placeholder(
42          dtype=tf.bool, name="input2", shape=parameters["input_shape_pair"][1])
43      out = op(input_value1, input_value2)
44      return [input_value1, input_value2], [out]
45
46    def build_inputs(parameters, sess, inputs, outputs):
47      input_value1 = create_tensor_data(tf.bool,
48                                        parameters["input_shape_pair"][0])
49      input_value2 = create_tensor_data(tf.bool,
50                                        parameters["input_shape_pair"][1])
51      return [input_value1, input_value2], sess.run(
52          outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2])))
53
54    make_zip_of_tests(
55        options,
56        test_parameters,
57        build_graph,
58        build_inputs,
59        expected_tf_failures=expected_tf_failures)
60
61  return logical
62
63
64@register_make_test_function()
65def make_logical_or_tests(options):
66  """Make a set of tests to do logical_or."""
67  return _make_logical_tests(tf.logical_or)(options, expected_tf_failures=1)
68
69
70@register_make_test_function()
71def make_logical_and_tests(options):
72  """Make a set of tests to do logical_and."""
73  return _make_logical_tests(tf.logical_and)(options, expected_tf_failures=1)
74
75
76@register_make_test_function()
77def make_logical_xor_tests(options):
78  """Make a set of tests to do logical_xor, test logical_not as well."""
79  return _make_logical_tests(tf.math.logical_xor)(
80      options, expected_tf_failures=1)
81