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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."""
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_resize_nearest_neighbor_tests(options):
24  """Make a set of tests to do resize_nearest_neighbor."""
25
26  test_parameters = [{
27      "dtype": [tf.float32],
28      "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
29      "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
30      "align_corners": [False],
31      "half_pixel_centers": [False],
32      "fully_quantize": [True, False],
33  }, {
34      "dtype": [tf.float32],
35      "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
36      "size": [[8, 12], [12, 18]],
37      "align_corners": [True],
38      "half_pixel_centers": [False],
39      "fully_quantize": [True, False]
40  }, {
41      "dtype": [tf.float32],
42      "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
43      "size": [[8, 12], [12, 18]],
44      "align_corners": [False],
45      "half_pixel_centers": [True],
46      "fully_quantize": [True, False]
47  }]
48
49  def build_graph(parameters):
50    input_tensor = tf.compat.v1.placeholder(
51        dtype=parameters["dtype"],
52        name="input",
53        shape=parameters["input_shape"])
54    out = tf.image.resize_nearest_neighbor(
55        input_tensor,
56        size=parameters["size"],
57        align_corners=parameters["align_corners"],
58        half_pixel_centers=parameters["half_pixel_centers"])
59    return [input_tensor], [out]
60
61  def build_inputs(parameters, sess, inputs, outputs):
62    input_values = create_tensor_data(
63        parameters["dtype"],
64        parameters["input_shape"],
65        min_value=-1,
66        max_value=1)
67    return [input_values], sess.run(
68        outputs, feed_dict=dict(zip(inputs, [input_values])))
69
70  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
71