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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."""
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_space_to_depth_tests(options):
28  """Make a set of tests to do space_to_depth."""
29
30  test_parameters = [{
31      "dtype": [tf.float32, tf.int32, tf.uint8, tf.int64],
32      "input_shape": [[2, 12, 24, 1]],
33      "block_size": [2, 3, 4],
34      "fully_quantize": [False],
35  }, {
36      "dtype": [tf.float32],
37      "input_shape": [[2, 12, 24, 1], [1, 12, 24, 1]],
38      "block_size": [2, 3, 4],
39      "fully_quantize": [True],
40  }]
41
42  def build_graph(parameters):
43    input_tensor = tf.compat.v1.placeholder(
44        dtype=parameters["dtype"],
45        name="input",
46        shape=parameters["input_shape"])
47    out = tf.space_to_depth(input_tensor, block_size=parameters["block_size"])
48    return [input_tensor], [out]
49
50  def build_inputs(parameters, sess, inputs, outputs):
51    input_values = create_tensor_data(
52        parameters["dtype"],
53        parameters["input_shape"],
54        min_value=-1,
55        max_value=1)
56    return [input_values], sess.run(
57        outputs, feed_dict=dict(zip(inputs, [input_values])))
58
59  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
60