arm_compute v18.05
[platform/upstream/armcl.git] / tests / benchmark / CL / NormalizationLayer.cpp
1 /*
2  * Copyright (c) 2017-2018 ARM Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITCLSS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #include "arm_compute/core/TensorShape.h"
25 #include "arm_compute/core/Types.h"
26 #include "arm_compute/runtime/CL/CLTensor.h"
27 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
28 #include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h"
29 #include "tests/CL/CLAccessor.h"
30 #include "tests/benchmark/fixtures/NormalizationLayerFixture.h"
31 #include "tests/datasets/system_tests/alexnet/AlexNetNormalizationLayerDataset.h"
32 #include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1NormalizationLayerDataset.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "utils/TypePrinter.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace benchmark
42 {
43 namespace
44 {
45 const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
46 } // namespace
47
48 using CLNormalizationLayerFixture = NormalizationLayerFixture<CLTensor, CLNormalizationLayer, CLAccessor>;
49
50 TEST_SUITE(CL)
51
52 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL,
53                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
54                                                                                         data_types),
55                                                             framework::dataset::make("Batches", 1)));
56
57 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL,
58                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(),
59                                                                                         data_types),
60                                                             framework::dataset::make("Batches", 1)));
61
62 TEST_SUITE(NIGHTLY)
63 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
64                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
65                                                                                         data_types),
66                                                             framework::dataset::make("Batches", { 4, 8 })));
67
68 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1NormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
69                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(),
70                                                                                         data_types),
71                                                             framework::dataset::make("Batches", { 4, 8 })));
72 TEST_SUITE_END()
73 TEST_SUITE_END()
74 } // namespace benchmark
75 } // namespace test
76 } // namespace arm_compute