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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 cast."""
16import tensorflow.compat.v1 as tf
17from tensorflow.lite.testing.zip_test_utils import create_tensor_data
18from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
19from tensorflow.lite.testing.zip_test_utils import register_make_test_function
20
21
22@register_make_test_function()
23def make_cast_tests(options):
24  """Generate examples for cast."""
25  test_parameters = [{
26      "input_dtype": [tf.float32],
27      "output_dtype": [tf.int16],
28      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
29  }, {
30      "input_dtype": [tf.int16],
31      "output_dtype": [tf.float32],
32      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
33  }, {
34      "input_dtype": [tf.int32],
35      "output_dtype": [tf.float32],
36      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
37  }, {
38      "input_dtype": [tf.int8],
39      "output_dtype": [tf.float32],
40      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
41  }, {
42      "input_dtype": [tf.float32],
43      "output_dtype": [tf.int8],
44      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
45  }, {
46      "input_dtype": [tf.uint16],
47      "output_dtype": [tf.float32],
48      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
49  }, {
50      "input_dtype": [tf.uint32],
51      "output_dtype": [tf.int32],
52      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
53  }, {
54      "input_dtype": [tf.uint8],
55      "output_dtype": [tf.int8],
56      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
57  }, {
58      "input_dtype": [tf.int8],
59      "output_dtype": [tf.uint8],
60      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
61  }, {
62      "input_dtype": [tf.uint16],
63      "output_dtype": [tf.int16],
64      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
65  }, {
66      "input_dtype": [tf.int16],
67      "output_dtype": [tf.uint16],
68      "input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
69  }]
70
71  def build_graph(parameters):
72    """Build the cast testing graph."""
73    input_value = tf.compat.v1.placeholder(
74        dtype=parameters["input_dtype"],
75        name="input",
76        shape=parameters["input_shape"])
77    out = tf.cast(input_value, parameters["output_dtype"])
78    return [input_value], [out]
79
80  def build_inputs(parameters, sess, inputs, outputs):
81    input_value = create_tensor_data(parameters["input_dtype"],
82                                     parameters["input_shape"])
83    return [input_value], sess.run(
84        outputs, feed_dict=dict(zip(inputs, [input_value])))
85
86  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
87