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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 rfft2d."""
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 ExtraTocoOptions
23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
24from tensorflow.lite.testing.zip_test_utils import register_make_test_function
25
26
27@register_make_test_function()
28def make_rfft2d_tests(options):
29  """Make a set of tests to do rfft2d."""
30
31  test_parameters = [{
32      "input_dtype": [tf.float32],
33      "input_shape": [[8, 8], [3, 8, 8], [3, 1, 16]],
34      "fft_length": [
35          None, [4, 4], [4, 8], [8, 4], [8, 8], [8, 16], [16, 8], [16, 16],
36          [1, 8], [1, 16]
37      ]
38  }]
39
40  def build_graph(parameters):
41    input_value = tf.compat.v1.placeholder(
42        dtype=parameters["input_dtype"],
43        name="input",
44        shape=parameters["input_shape"])
45    outs = tf.signal.rfft2d(input_value, fft_length=parameters["fft_length"])
46    return [input_value], [outs]
47
48  def build_inputs(parameters, sess, inputs, outputs):
49    input_value = create_tensor_data(parameters["input_dtype"],
50                                     parameters["input_shape"])
51    return [input_value], sess.run(
52        outputs, feed_dict=dict(zip(inputs, [input_value])))
53
54  extra_toco_options = ExtraTocoOptions()
55  make_zip_of_tests(options, test_parameters, build_graph, build_inputs,
56                    extra_toco_options)
57