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 greater_equal."""
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_greater_equal_tests(options):
28  """Make a set of tests to do greater_equal."""
29
30  test_parameters = [{
31      "input_dtype": [tf.float32, tf.int32, tf.int64],
32      "input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]),
33                           ([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
34                           ([5, 5], [1]), ([10], [2, 4, 10])],
35      "fully_quantize": [False],
36  }, {
37      "input_dtype": [tf.float32],
38      "input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])],
39      "fully_quantize": [True],
40  }]
41
42  def build_graph(parameters):
43    """Build the greater_equal op testing graph."""
44    input_value1 = tf.compat.v1.placeholder(
45        dtype=parameters["input_dtype"],
46        name="input1",
47        shape=parameters["input_shape_pair"][0])
48    input_value2 = tf.compat.v1.placeholder(
49        dtype=parameters["input_dtype"],
50        name="input2",
51        shape=parameters["input_shape_pair"][1])
52    out = tf.greater_equal(input_value1, input_value2)
53    return [input_value1, input_value2], [out]
54
55  def build_inputs(parameters, sess, inputs, outputs):
56    input_value1 = create_tensor_data(parameters["input_dtype"],
57                                      parameters["input_shape_pair"][0])
58    input_value2 = create_tensor_data(parameters["input_dtype"],
59                                      parameters["input_shape_pair"][1])
60    return [input_value1, input_value2], sess.run(
61        outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2])))
62
63  make_zip_of_tests(
64      options,
65      test_parameters,
66      build_graph,
67      build_inputs,
68      expected_tf_failures=4)
69