• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1# Copyright 2021 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 exp."""
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_conv3d_tests(options):
28  """Make a set of tests to do conv3d."""
29
30  test_parameters = [{
31      "input_dtype": [tf.float32],
32      "input_shape": [[2, 3, 4, 5, 3], [2, 5, 6, 8, 3]],
33      "filter_shape": [[2, 2, 2, 3, 2], [1, 2, 2, 3, 2]],
34      "strides": [(1, 1, 1, 1, 1), (1, 1, 1, 2, 1), (1, 1, 2, 2, 1),
35                  (1, 2, 1, 2, 1), (1, 2, 2, 2, 1)],
36      "dilations": [(1, 1, 1, 1, 1)],
37      "padding": ["SAME", "VALID"],
38  }]
39
40  def build_graph(parameters):
41    """Build the exp op testing graph."""
42    input_tensor = tf.compat.v1.placeholder(
43        dtype=parameters["input_dtype"],
44        name="input",
45        shape=parameters["input_shape"])
46    filter_tensor = tf.compat.v1.placeholder(
47        dtype=parameters["input_dtype"],
48        name="filter",
49        shape=parameters["filter_shape"])
50
51    out = tf.nn.conv3d(
52        input_tensor,
53        filter_tensor,
54        strides=parameters["strides"],
55        dilations=parameters["dilations"],
56        padding=parameters["padding"])
57    return [input_tensor, filter_tensor], [out]
58
59  def build_inputs(parameters, sess, inputs, outputs):
60    values = [
61        create_tensor_data(
62            parameters["input_dtype"],
63            parameters["input_shape"],
64            min_value=-100,
65            max_value=9),
66        create_tensor_data(
67            parameters["input_dtype"],
68            parameters["filter_shape"],
69            min_value=-3,
70            max_value=3)
71    ]
72    return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
73
74  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
75