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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 nearest upsample."""
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_nearest_upsample_tests(options):
24  """Make a set of tests to do nearest_upsample."""
25
26  # Chose a set of parameters
27  test_parameters = [{
28      "input_shape": [[1, 10, 10, 64], [3, 8, 32]],
29      "scale_n_axis": [([2, 2], [1, 2]), ([3, 4], [1, 2]), ([3], [1])],
30      "dtype": [tf.float32, tf.int32],
31  }]
32
33  def new_shape_for_upsample(original_shape, scales, axis):
34    """Calculate the input shape & ones shape, also the upsample shape."""
35    input_new_shape = []
36    ones_new_shape = []
37    upsample_new_shape = []
38    j = 0
39    for i in range(len(original_shape)):
40      input_new_shape.append(original_shape[i])
41      ones_new_shape.append(1)
42      if j < len(scales) and axis[j] == i:
43        input_new_shape.append(1)
44        ones_new_shape.append(scales[j])
45        upsample_new_shape.append(original_shape[i] * scales[j])
46        j += 1
47      else:
48        upsample_new_shape.append(original_shape[i])
49    return input_new_shape, ones_new_shape, upsample_new_shape
50
51  def build_graph(parameters):
52    """Build the nearest upsample testing graph."""
53    input_shape = parameters["input_shape"]
54    input_tensor = tf.compat.v1.placeholder(
55        dtype=parameters["dtype"], name="input", shape=input_shape)
56    scales, axis = parameters["scale_n_axis"]
57    input_new_shape, ones_new_shape, new_shape = new_shape_for_upsample(
58        input_shape, scales, axis)
59
60    out = tf.compat.v1.reshape(input_tensor,
61                               input_new_shape) * tf.compat.v1.ones(
62                                   ones_new_shape, dtype=parameters["dtype"])
63    out = tf.compat.v1.reshape(out, new_shape)
64    return [input_tensor], [out]
65
66  def build_inputs(parameters, sess, inputs, outputs):
67    input_values = create_tensor_data(
68        parameters["dtype"],
69        parameters["input_shape"],
70        min_value=-10,
71        max_value=10)
72    return [input_values], sess.run(
73        outputs, feed_dict=dict(zip(inputs, [input_values])))
74
75  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
76