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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 matrix_set_diag."""
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_matrix_set_diag_tests(options):
28  """Make a set of tests for tf.linalg.set_diag op."""
29
30  test_parameters = [
31      {
32          "input_diag_shapes": [([3, 3], [3]), ([2, 3], [2]), ([2, 4,
33                                                                4], [2, 4]),
34                                ([3, 4, 5, 6], [3, 4, 5])],
35          "input_dtype": [tf.int32, tf.float32, tf.uint8],
36      },
37  ]
38
39  def build_graph(parameters):
40    input_shape = parameters["input_diag_shapes"][0]
41    diag_shape = parameters["input_diag_shapes"][1]
42    input_tensor = tf.compat.v1.placeholder(
43        dtype=parameters["input_dtype"], name="input", shape=input_shape)
44    diag_tensor = tf.compat.v1.placeholder(
45        dtype=parameters["input_dtype"], name="diagonal", shape=diag_shape)
46    outs = tf.linalg.set_diag(input_tensor, diag_tensor)
47    return [input_tensor, diag_tensor], [outs]
48
49  def build_inputs(parameters, sess, inputs, outputs):
50    input_shape = parameters["input_diag_shapes"][0]
51    diag_shape = parameters["input_diag_shapes"][1]
52    input_values = create_tensor_data(parameters["input_dtype"], input_shape)
53    diag_values = create_tensor_data(parameters["input_dtype"], diag_shape)
54    return [input_values, diag_values], sess.run(
55        outputs, feed_dict=dict(zip(inputs, [input_values, diag_values])))
56
57  make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
58