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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 expand_dims."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import numpy as np
21import tensorflow.compat.v1 as tf
22from tensorflow.lite.testing.zip_test_utils import create_tensor_data
23from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
24from tensorflow.lite.testing.zip_test_utils import register_make_test_function
25
26
27@register_make_test_function()
28def make_expand_dims_tests(options):
29  """Make a set of tests to do expand_dims."""
30
31  test_parameters = [{
32      "input_type": [tf.float32, tf.int32],
33      "input_shape": [[5, 4], [1, 5, 4]],
34      "axis_value": [0, 1, 2, -1, -2, -3],
35      "constant_axis": [True, False],
36      "fully_quantize": [False],
37  }, {
38      "input_type": [tf.float32],
39      "input_shape": [[5, 4], [1, 5, 4]],
40      "axis_value": [0, 1, 2, -1, -2, -3],
41      "constant_axis": [True],
42      "fully_quantize": [True],
43  }]
44
45  def build_graph(parameters):
46    """Build the where op testing graph."""
47    inputs = []
48    input_value = tf.compat.v1.placeholder(
49        dtype=parameters["input_type"],
50        name="input",
51        shape=parameters["input_shape"])
52    inputs.append(input_value)
53
54    if parameters["constant_axis"]:
55      axis_value = tf.constant(
56          parameters["axis_value"], dtype=tf.int32, shape=[1])
57    else:
58      axis_value = tf.compat.v1.placeholder(
59          dtype=tf.int32, name="axis", shape=[1])
60      inputs.append(axis_value)
61
62    out = tf.expand_dims(input_value, axis=axis_value)
63    return inputs, [out]
64
65  def build_inputs(parameters, sess, inputs, outputs):
66    """Builds the inputs for expand_dims."""
67    input_values = []
68    input_values.append(
69        create_tensor_data(
70            parameters["input_type"],
71            parameters["input_shape"],
72            min_value=-1,
73            max_value=1))
74    if not parameters["constant_axis"]:
75      input_values.append(np.array([parameters["axis_value"]], dtype=np.int32))
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