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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_bilinear."""
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_bilinear_tests(options):
28  """Make a set of tests to do resize_bilinear."""
29
30  test_parameters = [{
31      "dtype": [tf.float32, tf.int32],
32      "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
33      "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
34      "align_corners": [True, False],
35      "half_pixel_centers": [False],
36      "fully_quantize": [False]
37  }, {
38      "dtype": [tf.float32],
39      "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
40      "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
41      "align_corners": [True, False],
42      "half_pixel_centers": [False],
43      "fully_quantize": [True]
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": [True, False],
49      "half_pixel_centers": [False],
50      "fully_quantize": [True]
51  }, {
52      "dtype": [tf.float32],
53      "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
54      "size": [[8, 12]],
55      "align_corners": [False],
56      "half_pixel_centers": [True],
57      "fully_quantize": [True]
58  }, {
59      "dtype": [tf.float32, tf.int32],
60      "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
61      "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
62      "align_corners": [False],
63      "half_pixel_centers": [True],
64      "fully_quantize": [False]
65  }]
66
67  def build_graph(parameters):
68    input_tensor = tf.compat.v1.placeholder(
69        dtype=parameters["dtype"],
70        name="input",
71        shape=parameters["input_shape"])
72    out = tf.compat.v1.image.resize_bilinear(
73        input_tensor,
74        size=parameters["size"],
75        align_corners=parameters["align_corners"],
76        half_pixel_centers=parameters["half_pixel_centers"])
77    return [input_tensor], [out]
78
79  def build_inputs(parameters, sess, inputs, outputs):
80    input_values = create_tensor_data(
81        parameters["dtype"],
82        parameters["input_shape"],
83        min_value=-1,
84        max_value=1)
85    return [input_values], sess.run(
86        outputs, feed_dict=dict(zip(inputs, [input_values])))
87
88  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
89