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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 reverse_sequence."""
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_reverse_sequence_tests(options):
28  """Make a set of tests to do reverse_sequence."""
29
30  test_parameters = [{
31      "input_dtype": [tf.float32, tf.int32, tf.int64],
32      "input_shape": [[8, 4, 5, 5, 6], [4, 4, 3, 5]],
33      "seq_lengths": [[2, 2, 2, 2], [2, 1, 1, 0]],
34      "seq_axis": [0, 3],
35      "batch_axis": [1]
36  }, {
37      "input_dtype": [tf.float32],
38      "input_shape": [[2, 4, 5, 5, 6]],
39      "seq_lengths": [[2, 1]],
40      "seq_axis": [2],
41      "batch_axis": [0]
42  }, {
43      "input_dtype": [tf.float32],
44      "input_shape": [[4, 2]],
45      "seq_lengths": [[3, 1]],
46      "seq_axis": [0],
47      "batch_axis": [1]
48  }]
49
50  def build_graph(parameters):
51    """Build the graph for reverse_sequence tests."""
52    input_value = tf.compat.v1.placeholder(
53        dtype=parameters["input_dtype"],
54        name="input",
55        shape=parameters["input_shape"])
56    outs = tf.reverse_sequence(
57        input_value,
58        seq_lengths=parameters["seq_lengths"],
59        batch_axis=parameters["batch_axis"],
60        seq_axis=parameters["seq_axis"])
61    return [input_value], [outs]
62
63  def build_inputs(parameters, sess, inputs, outputs):
64    input_value = create_tensor_data(parameters["input_dtype"],
65                                     parameters["input_shape"])
66    return [input_value], sess.run(
67        outputs, feed_dict=dict(zip(inputs, [input_value])))
68
69  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
70