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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 fill."""
16import tensorflow.compat.v1 as tf
17from tensorflow.lite.testing.zip_test_utils import create_scalar_data
18from tensorflow.lite.testing.zip_test_utils import create_tensor_data
19from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
20from tensorflow.lite.testing.zip_test_utils import register_make_test_function
21
22
23@register_make_test_function()
24def make_fill_tests(options):
25  """Make a set of tests to do fill."""
26
27  test_parameters = [{
28      "dims_dtype": [tf.int32, tf.int64],
29      "dims_shape": [[], [1], [3], [3, 3]],
30      "value_dtype": [tf.int32, tf.int64, tf.float32, tf.bool, tf.string],
31  }]
32
33  def build_graph(parameters):
34    """Build the fill op testing graph."""
35    input1 = tf.compat.v1.placeholder(
36        dtype=parameters["dims_dtype"],
37        name="dims",
38        shape=parameters["dims_shape"])
39    input2 = tf.compat.v1.placeholder(
40        dtype=parameters["value_dtype"], name="value", shape=[])
41    out = tf.fill(input1, input2)
42    return [input1, input2], [out]
43
44  def build_inputs(parameters, sess, inputs, outputs):
45    input1 = create_tensor_data(parameters["dims_dtype"],
46                                parameters["dims_shape"], 1)
47    input2 = create_scalar_data(parameters["value_dtype"])
48    return [input1, input2], sess.run(
49        outputs, feed_dict=dict(zip(inputs, [input1, input2])))
50
51  make_zip_of_tests(
52      options,
53      test_parameters,
54      build_graph,
55      build_inputs,
56      expected_tf_failures=20)
57