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1# Copyright 2021 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 random_uniform."""
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_random_uniform_tests(options):
28  """Make a set of tests to do random_uniform."""
29
30  test_parameters = [{
31      "input_shape": [[1]],
32      "input_dtype": [tf.int32],
33      "shape": [[10]],
34      "seed": [None, 0, 1234],
35      "seed2": [0, 5678],
36      "dtype": [tf.float32],
37  }, {
38      "input_shape": [[3]],
39      "input_dtype": [tf.int32],
40      "shape": [[2, 3, 4]],
41      "seed": [0, 1234],
42      "seed2": [None, 0, 5678],
43      "dtype": [tf.float32],
44  }]
45
46  def build_graph(parameters):
47    """Build the op testing graph."""
48    tf.set_random_seed(seed=parameters["seed"])
49    input_value = tf.compat.v1.placeholder(
50        name="shape",
51        shape=parameters["input_shape"],
52        dtype=parameters["input_dtype"])
53    out = tf.random.uniform(
54        shape=input_value, dtype=parameters["dtype"], seed=parameters["seed2"])
55    return [input_value], [out]
56
57  def build_inputs(parameters, sess, inputs, outputs):
58    input_value = create_tensor_data(
59        parameters["input_dtype"],
60        parameters["input_shape"],
61        min_value=1,
62        max_value=10)
63    return [input_value], sess.run(
64        outputs, feed_dict=dict(zip(inputs, [input_value])))
65
66  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
67