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