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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 multinomial."""
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_multinomial_tests(options):
28  """Make a set of tests to do multinomial."""
29  test_parameters = [{
30      "logits_shape": [[1, 2], [2, 5]],
31      "dtype": [tf.int64, tf.int32],
32      "seed": [None, 1234],
33      "seed2": [5678],
34  }, {
35      "logits_shape": [[1, 2]],
36      "dtype": [tf.int64, tf.int32],
37      "seed": [1234],
38      "seed2": [None]
39  }]
40
41  def build_graph(parameters):
42    """Build the op testing graph."""
43    tf.set_random_seed(seed=parameters["seed"])
44    logits_tf = tf.compat.v1.placeholder(
45        name="logits", dtype=tf.float32, shape=parameters["logits_shape"])
46    num_samples_tf = tf.compat.v1.placeholder(
47        name="num_samples", dtype=tf.int32, shape=None)
48    out = tf.random.categorical(
49        logits=logits_tf,
50        num_samples=num_samples_tf,
51        dtype=parameters["dtype"],
52        seed=parameters["seed2"])
53    return [logits_tf, num_samples_tf], [out]
54
55  def build_inputs(parameters, sess, inputs, outputs):
56    input_values = [
57        create_tensor_data(
58            dtype=tf.float32, shape=parameters["logits_shape"], min_value=-2,
59            max_value=-1),
60        create_tensor_data(
61            dtype=tf.int32, shape=None, min_value=10, max_value=100)
62    ]
63    return input_values, sess.run(
64        outputs, feed_dict=dict(zip(inputs, input_values)))
65
66  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
67