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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 arg_min_max."""
16from __future__ import absolute_import
17from __future__ import division
18from __future__ import print_function
19
20import random
21
22import tensorflow.compat.v1 as tf
23from tensorflow.lite.testing.zip_test_utils import create_tensor_data
24from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
25from tensorflow.lite.testing.zip_test_utils import register_make_test_function
26
27
28@register_make_test_function()
29def make_arg_min_max_tests(options):
30  """Make a set of tests to do arg_max."""
31
32  test_parameters = [
33      {
34          "input_dtype": [tf.float32, tf.int32],
35          "input_shape": [[], [1, 1, 1, 3], [2, 3, 4, 5], [2, 3, 3], [5, 5],
36                          [10]],
37          "output_type": [tf.int32, tf.int64],
38          "is_arg_max": [True],
39          "is_last_axis": [False],
40          "dynamic_range_quantize": [False, True],
41      },
42      {
43          "input_dtype": [tf.float32, tf.int32],
44          "input_shape": [[1], [2], [3], [4], [5], [6], [7], [8], [9], [10],
45                          [2, 10], [3, 4, 50], [2, 3, 5, 100]],
46          "output_type": [tf.int32, tf.int64],
47          "is_arg_max": [False, True],
48          "is_last_axis": [True],
49          "dynamic_range_quantize": [False, True],
50      },
51  ]
52
53  def build_graph(parameters):
54    """Build the topk op testing graph."""
55    input_value = tf.compat.v1.placeholder(
56        dtype=parameters["input_dtype"],
57        name="input",
58        shape=parameters["input_shape"])
59    if not parameters["is_last_axis"]:
60      axis = random.randint(0, max(len(parameters["input_shape"]) - 1, 0))
61    else:
62      axis = -1
63    if parameters["is_arg_max"]:
64      out = tf.math.argmax(
65          input_value, axis, output_type=parameters["output_type"])
66    else:
67      out = tf.math.argmin(
68          input_value, axis, output_type=parameters["output_type"])
69    return [input_value], [out]
70
71  def build_inputs(parameters, sess, inputs, outputs):
72    input_value = create_tensor_data(parameters["input_dtype"],
73                                     parameters["input_shape"])
74    return [input_value], sess.run(
75        outputs, feed_dict=dict(zip(inputs, [input_value])))
76
77  make_zip_of_tests(
78      options,
79      test_parameters,
80      build_graph,
81      build_inputs,
82      expected_tf_failures=8)
83