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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 depth_to_space."""
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_depth_to_space_tests(options):
28  """Make a set of tests to do depth_to_space."""
29
30  test_parameters = [{
31      "dtype": [tf.int32, tf.uint8, tf.int64],
32      "input_shape": [[2, 3, 4, 16]],
33      "block_size": [2, 4],
34      "fully_quantize": [False],
35  }, {
36      "dtype": [tf.float32],
37      "input_shape": [[2, 3, 4, 16]],
38      "block_size": [2, 4],
39      "fully_quantize": [True, False],
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.compat.v1.depth_to_space(
48        input_tensor, block_size=parameters["block_size"])
49    return [input_tensor], [out]
50
51  def build_inputs(parameters, sess, inputs, outputs):
52    if not parameters["fully_quantize"]:
53      input_values = create_tensor_data(parameters["dtype"],
54                                        parameters["input_shape"])
55    else:
56      input_values = create_tensor_data(
57          parameters["dtype"],
58          parameters["input_shape"],
59          min_value=-1,
60          max_value=1)
61    return [input_values], sess.run(
62        outputs, feed_dict=dict(zip(inputs, [input_values])))
63
64  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
65