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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 tile."""
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_tile_tests(options):
28  """Make a set of tests to do tile."""
29  test_parameters = [{
30      "input_dtype": [tf.float32, tf.int32, tf.bool, tf.string],
31      "input_shape": [[3, 2, 1], [2, 2, 2]],
32      "multiplier_dtype": [tf.int32, tf.int64],
33      "multiplier_shape": [[3]]
34  }]
35
36  def build_graph(parameters):
37    """Build the tile op testing graph."""
38    input_value = tf.compat.v1.placeholder(
39        dtype=parameters["input_dtype"],
40        shape=parameters["input_shape"],
41        name="input")
42    multiplier_value = tf.compat.v1.placeholder(
43        dtype=parameters["multiplier_dtype"],
44        shape=parameters["multiplier_shape"],
45        name="multiplier")
46    out = tf.tile(input_value, multiplier_value)
47    return [input_value, multiplier_value], [out]
48
49  def build_inputs(parameters, sess, inputs, outputs):
50    input_value = create_tensor_data(parameters["input_dtype"],
51                                     parameters["input_shape"])
52    multipliers_value = create_tensor_data(
53        parameters["multiplier_dtype"],
54        parameters["multiplier_shape"],
55        min_value=0)
56    return [input_value, multipliers_value], sess.run(
57        outputs,
58        feed_dict={
59            inputs[0]: input_value,
60            inputs[1]: multipliers_value
61        })
62
63  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
64