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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 reverse_v2."""
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
22@register_make_test_function()
23def make_reverse_v2_tests(options):
24  """Make a set of tests to do reverse_v2."""
25
26  test_parameters = [{
27      "dtype": [tf.float32, tf.bool],
28      "base_shape": [[3, 4, 3], [3, 4], [5, 6, 7, 8]],
29      "axis": [-2, -1, 0, 1, 2, 3],
30  }]
31
32  def get_valid_axis(parameters):
33    """Return a tweaked version of 'axis'."""
34    axis = parameters["axis"]
35    shape = parameters["base_shape"][:]
36    while axis > len(shape) - 1:
37      axis -= 1
38    return axis
39
40  def build_graph(parameters):
41    input_tensor = tf.compat.v1.placeholder(
42        dtype=parameters["dtype"],
43        name=("input"),
44        shape=parameters["base_shape"])
45    outs = tf.reverse(input_tensor, axis=[get_valid_axis(parameters)])
46    return [input_tensor], [outs]
47
48  def build_inputs(parameters, sess, inputs, outputs):
49    input_value = create_tensor_data(
50        parameters["dtype"], shape=parameters["base_shape"])
51    return [input_value], sess.run(
52        outputs, feed_dict=dict(zip(inputs, [input_value])))
53
54  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
55