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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 unpack."""
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_unpack_tests(options):
28  """Make a set of tests to do unpack."""
29
30  test_parameters = [{
31      "base_shape": [[3, 4, 3], [3, 4], [5, 6, 7, 8]],
32      "axis": [0, 1, 2, 3],
33      "dtype": [tf.int32, tf.bool, tf.float32],
34  }]
35
36  def get_valid_axis(parameters):
37    """Return a tweaked version of 'axis'."""
38    axis = parameters["axis"]
39    shape = parameters["base_shape"][:]
40    while axis > len(shape) - 1:
41      axis -= 1
42    return axis
43
44  def build_graph(parameters):
45    input_tensor = tf.compat.v1.placeholder(
46        dtype=parameters["dtype"],
47        name=("input"),
48        shape=parameters["base_shape"])
49    outs = tf.unstack(input_tensor, axis=get_valid_axis(parameters))
50    return [input_tensor], [outs[0]]
51
52  def build_inputs(parameters, sess, inputs, outputs):
53    input_value = create_tensor_data(
54        parameters["dtype"], shape=parameters["base_shape"])
55    return [input_value], sess.run(
56        outputs, feed_dict=dict(zip(inputs, [input_value])))
57
58  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
59