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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 resize_nearest_neighbor."""
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_resize_nearest_neighbor_tests(options):
28  """Make a set of tests to do resize_nearest_neighbor."""
29
30  test_parameters = [{
31      "dtype": [tf.float32],
32      "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
33      "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
34      "align_corners": [False],
35      "half_pixel_centers": [False],
36      "fully_quantize": [True, False],
37  }, {
38      "dtype": [tf.float32],
39      "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
40      "size": [[8, 12], [12, 18]],
41      "align_corners": [True],
42      "half_pixel_centers": [False],
43      "fully_quantize": [True, False]
44  }, {
45      "dtype": [tf.float32],
46      "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
47      "size": [[8, 12], [12, 18]],
48      "align_corners": [False],
49      "half_pixel_centers": [True],
50      "fully_quantize": [True, False]
51  }]
52
53  def build_graph(parameters):
54    input_tensor = tf.compat.v1.placeholder(
55        dtype=parameters["dtype"],
56        name="input",
57        shape=parameters["input_shape"])
58    out = tf.image.resize_nearest_neighbor(
59        input_tensor,
60        size=parameters["size"],
61        align_corners=parameters["align_corners"],
62        half_pixel_centers=parameters["half_pixel_centers"])
63    return [input_tensor], [out]
64
65  def build_inputs(parameters, sess, inputs, outputs):
66    input_values = create_tensor_data(
67        parameters["dtype"],
68        parameters["input_shape"],
69        min_value=-1,
70        max_value=1)
71    return [input_values], sess.run(
72        outputs, feed_dict=dict(zip(inputs, [input_values])))
73
74  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
75