• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
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 gather_with_constant."""
16import numpy as np
17import tensorflow.compat.v1 as tf
18from tensorflow.lite.testing.zip_test_utils import create_tensor_data
19from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
20from tensorflow.lite.testing.zip_test_utils import register_make_test_function
21
22
23@register_make_test_function()
24def make_gather_with_constant_tests(options):
25  """Make a set of test which feed a constant to gather."""
26
27  test_parameters = [{
28      "input_shape": [[3]],
29      "reference_shape": [[2]],
30  }, {
31      "input_shape": [[2, 3]],
32      "reference_shape": [[2, 3]],
33  }]
34
35  def build_graph(parameters):
36    """Build a graph where the inputs to Gather are constants."""
37    reference = tf.compat.v1.placeholder(
38        dtype=tf.int32, shape=parameters["reference_shape"])
39    gather_input = tf.constant(
40        create_tensor_data(tf.int32, parameters["input_shape"]))
41    gather_indices = tf.constant([0, 1], tf.int32)
42    out = tf.equal(reference, tf.gather(gather_input, gather_indices))
43    return [reference], [out]
44
45  def build_inputs(parameters, sess, inputs, outputs):
46    reference_values = np.zeros(parameters["reference_shape"], dtype=np.int32)
47    return [reference_values], sess.run(
48        outputs, feed_dict={inputs[0]: reference_values})
49
50  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
51