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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 abs."""
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
26@register_make_test_function()
27def make_abs_tests(options):
28  """Make a set of tests to do abs."""
29
30  # Chose a set of parameters
31  test_parameters = [{
32      "input_shape": [[], [1], [2, 3], [1, 1, 1, 1], [1, 3, 4, 3],
33                      [3, 15, 14, 3], [3, 1, 2, 4, 6], [2, 2, 3, 4, 5, 6]],
34      "dtype": [tf.float32],
35      "dynamic_range_quantize": [False, True],
36      "fully_quantize": [False],
37      "input_range": [(-10, 10)],
38  }, {
39      "input_shape": [[], [1], [2, 3], [1, 1, 1, 1], [1, 3, 4, 3],
40                      [3, 15, 14, 3], [3, 1, 2, 4, 6], [2, 2, 3, 4, 5, 6]],
41      "dtype": [tf.float32],
42      "dynamic_range_quantize": [False],
43      "fully_quantize": [True],
44      "input_range": [(-10, 10)],
45  }]
46  if options.use_experimental_converter:
47    test_parameters = test_parameters + [{
48        "input_shape": [[], [1], [2, 3], [1, 1, 1, 1], [1, 3, 4, 3],
49                        [3, 15, 14, 3], [3, 1, 2, 4, 6], [2, 2, 3, 4, 5, 6]],
50        "dtype": [tf.int16],
51    }]
52
53  def build_graph(parameters):
54    input_tensor = tf.compat.v1.placeholder(
55        dtype=parameters["dtype"],
56        name="input",
57        shape=parameters["input_shape"])
58    out = tf.abs(input_tensor)
59    return [input_tensor], [out]
60
61  def build_inputs(parameters, sess, inputs, outputs):
62    input_values = create_tensor_data(
63        parameters["dtype"],
64        parameters["input_shape"],
65        min_value=-10,
66        max_value=10)
67    return [input_values], sess.run(
68        outputs, feed_dict=dict(zip(inputs, [input_values])))
69
70  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
71