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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 space_to_depth."""
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_space_to_depth_tests(options):
24  """Make a set of tests to do space_to_depth."""
25
26  test_parameters = [{
27      "dtype": [tf.float32, tf.int32, tf.uint8, tf.int64],
28      "input_shape": [[2, 12, 24, 1]],
29      "block_size": [2, 3, 4],
30      "fully_quantize": [False],
31  }, {
32      "dtype": [tf.float32],
33      "input_shape": [[2, 12, 24, 1], [1, 12, 24, 1]],
34      "block_size": [2, 3, 4],
35      "fully_quantize": [True],
36  }]
37
38  def build_graph(parameters):
39    input_tensor = tf.compat.v1.placeholder(
40        dtype=parameters["dtype"],
41        name="input",
42        shape=parameters["input_shape"])
43    out = tf.space_to_depth(input_tensor, block_size=parameters["block_size"])
44    return [input_tensor], [out]
45
46  def build_inputs(parameters, sess, inputs, outputs):
47    input_values = create_tensor_data(
48        parameters["dtype"],
49        parameters["input_shape"],
50        min_value=-1,
51        max_value=1)
52    return [input_values], sess.run(
53        outputs, feed_dict=dict(zip(inputs, [input_values])))
54
55  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
56