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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 scatter_nd."""
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_scatter_nd_tests(options):
29  """Make a set of tests to do scatter_nd."""
30
31  test_parameters = [{
32      "indices_dtype": [tf.int32],
33      "indices_shape": [[4, 1]],
34      "indices_value": [[[4], [3], [1], [7]]],
35      "updates_dtype": [tf.int32, tf.int64, tf.float32],
36      "updates_shape": [[4]],
37      "shape_dtype": [tf.int32],
38      "shape_shape": [[1]],
39      "shape_value": [[8]]
40  }, {
41      "indices_dtype": [tf.int32],
42      "indices_shape": [[4, 2]],
43      "indices_value": [[[0, 0], [1, 0], [0, 2], [1, 2]]],
44      "updates_dtype": [tf.int32, tf.int64, tf.float32],
45      "updates_shape": [[4, 5]],
46      "shape_dtype": [tf.int32],
47      "shape_shape": [[3]],
48      "shape_value": [[2, 3, 5]]
49  }]
50
51  def build_graph(parameters):
52    """Build the scatter_nd op testing graph."""
53    indices = tf.compat.v1.placeholder(
54        dtype=parameters["indices_dtype"],
55        name="indices",
56        shape=parameters["indices_shape"])
57    updates = tf.compat.v1.placeholder(
58        dtype=parameters["updates_dtype"],
59        name="updates",
60        shape=parameters["updates_shape"])
61    shape = tf.compat.v1.placeholder(
62        dtype=parameters["shape_dtype"],
63        name="shape",
64        shape=parameters["shape_shape"])
65    out = tf.scatter_nd(indices, updates, shape)
66    return [indices, updates, shape], [out]
67
68  def build_inputs(parameters, sess, inputs, outputs):
69    indices = np.array(parameters["indices_value"])
70    updates = create_tensor_data(parameters["updates_dtype"],
71                                 parameters["updates_shape"])
72    shape = np.array(parameters["shape_value"])
73    return [indices, updates, shape], sess.run(
74        outputs, feed_dict=dict(zip(inputs, [indices, updates, shape])))
75
76  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
77