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1# Copyright 2020 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 segment_sum."""
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_segment_sum_tests(options):
28  """Make a set of tests to do segment_sum."""
29
30  test_parameters = [
31      {
32          "data_shape": [[4, 4], [4], [4, 3, 2]],
33          "data_dtype": [tf.float32, tf.int32],
34          "segment_ids": [[0, 0, 1, 1], [0, 1, 2, 2], [0, 1, 2, 3],
35                          [0, 0, 0, 0]],
36      },
37  ]
38
39  def build_graph(parameters):
40    """Build the segment_sum op testing graph."""
41    data = tf.compat.v1.placeholder(
42        dtype=parameters["data_dtype"],
43        name="data",
44        shape=parameters["data_shape"])
45    segment_ids = tf.constant(parameters["segment_ids"], dtype=tf.int32)
46    out = tf.segment_sum(data, segment_ids)
47    return [data], [out]
48
49  def build_inputs(parameters, sess, inputs, outputs):
50    data = create_tensor_data(parameters["data_dtype"],
51                              parameters["data_shape"])
52    return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
53
54  options.use_experimental_converter = True
55  make_zip_of_tests(
56      options,
57      test_parameters,
58      build_graph,
59      build_inputs,
60      expected_tf_failures=0)
61