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1# Copyright 2021 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 complex 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_complex_abs_tests(options):
28  """Make a set of tests to do complex abs."""
29
30  # Chose a set of parameters
31  test_parameters = [{
32      "dtype": [tf.complex64],
33      "input_shape": [[], [1], [2, 3], [1, 3, 4, 3], [2, 2, 3, 4, 5, 6]],
34      "Tout": [tf.float32]
35  }, {
36      "dtype": [tf.complex128],
37      "input_shape": [[], [1], [2, 3], [1, 3, 4, 3], [2, 2, 3, 4, 5, 6]],
38      "Tout": [tf.float64]
39  }]
40
41  def build_graph(parameters):
42    input_tensor = tf.compat.v1.placeholder(
43        dtype=parameters["dtype"],
44        name="input",
45        shape=parameters["input_shape"])
46    out = tf.raw_ops.ComplexAbs(x=input_tensor, Tout=parameters["Tout"])
47    return [input_tensor], [out]
48
49  def build_inputs(parameters, sess, inputs, outputs):
50    input_values = create_tensor_data(
51        parameters["dtype"].as_numpy_dtype,
52        parameters["input_shape"],
53        min_value=-10,
54        max_value=10)
55    return [input_values], sess.run(
56        outputs, feed_dict=dict(zip(inputs, [input_values])))
57
58  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
59