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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."""
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_nearest_upsample_tests(options):
28  """Make a set of tests to do nearest_upsample."""
29
30  # Chose a set of parameters
31  test_parameters = [{
32      "input_shape": [[1, 10, 10, 64], [3, 8, 32]],
33      "scale_n_axis": [([2, 2], [1, 2]), ([3, 4], [1, 2]), ([3], [1])],
34      "dtype": [tf.float32, tf.int32],
35  }]
36
37  def new_shape_for_upsample(original_shape, scales, axis):
38    """Calculate the input shape & ones shape, also the upsample shape."""
39    input_new_shape = []
40    ones_new_shape = []
41    upsample_new_shape = []
42    j = 0
43    for i in range(len(original_shape)):
44      input_new_shape.append(original_shape[i])
45      ones_new_shape.append(1)
46      if j < len(scales) and axis[j] == i:
47        input_new_shape.append(1)
48        ones_new_shape.append(scales[j])
49        upsample_new_shape.append(original_shape[i] * scales[j])
50        j += 1
51      else:
52        upsample_new_shape.append(original_shape[i])
53    return input_new_shape, ones_new_shape, upsample_new_shape
54
55  def build_graph(parameters):
56    """Build the nearest upsample testing graph."""
57    input_shape = parameters["input_shape"]
58    input_tensor = tf.compat.v1.placeholder(
59        dtype=parameters["dtype"], name="input", shape=input_shape)
60    scales, axis = parameters["scale_n_axis"]
61    input_new_shape, ones_new_shape, new_shape = new_shape_for_upsample(
62        input_shape, scales, axis)
63
64    out = tf.compat.v1.reshape(input_tensor,
65                               input_new_shape) * tf.compat.v1.ones(
66                                   ones_new_shape, dtype=parameters["dtype"])
67    out = tf.compat.v1.reshape(out, new_shape)
68    return [input_tensor], [out]
69
70  def build_inputs(parameters, sess, inputs, outputs):
71    input_values = create_tensor_data(
72        parameters["dtype"],
73        parameters["input_shape"],
74        min_value=-10,
75        max_value=10)
76    return [input_values], sess.run(
77        outputs, feed_dict=dict(zip(inputs, [input_values])))
78
79  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
80