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review.mlplatform.org / ml / ComputeLibrary / 34d5eb6d51217d4ef6592f9925e024cd9970f238 / . / tests / benchmark / CL / ConvolutionLayer.cpp
blob: 5eb33658ff15cb3ef7fc1a2b8c72158b9b2c9b20 [file] [log] [blame]
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]1/*
Georgios Pinitas51a67302018-01-17 12:55:26 +0000[diff] [blame]2 * Copyright (c) 2017-2018 ARM Limited.
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]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 * FITNESS 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 CONNECTION 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"
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]28#include "arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h"
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]29#include "arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h"
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]30#include "tests/CL/CLAccessor.h"
Moritz Pflanzera09de0c2017-09-01 20:41:12 +0100[diff] [blame]31#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
Georgios Pinitas9fb11592018-04-26 20:34:58 +0100[diff] [blame]32#include "tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h"
Moritz Pflanzera09de0c2017-09-01 20:41:12 +0100[diff] [blame]33#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
34#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
35#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
36#include "tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h"
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]37#include "tests/datasets/system_tests/mobilenet/MobileNetConvolutionLayerDataset.h"
Moritz Pflanzera09de0c2017-09-01 20:41:12 +0100[diff] [blame]38#include "tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
39#include "tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"
40#include "tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
41#include "tests/framework/Macros.h"
42#include "tests/framework/datasets/Datasets.h"
Anthony Barbier2a07e182017-08-04 18:20:27 +0100[diff] [blame]43#include "utils/TypePrinter.h"
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]44
45namespace arm_compute
46{
47namespace test
48{
Michalis Spyrou724079d2017-12-15 11:37:37 +0000[diff] [blame]49namespace benchmark
50{
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]51namespace
52{
Gian Marco Iodice1d2f2672018-07-10 13:15:34 +0100[diff] [blame]53const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QASYMM8 });
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]54} // namespace
55
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]56using CLGEMMConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLGEMMConvolutionLayer, CLAccessor>;
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]57
58TEST_SUITE(CL)
59
Georgios Pinitas9fb11592018-04-26 20:34:58 +0100[diff] [blame]60using CLWinogradLayerFixture = WinogradConvolutionLayerFixture<CLTensor, CLWinogradConvolutionLayer, CLAccessor>;
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]61
62REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL,
63 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(),
64 framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]65 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]66 framework::dataset::make("Batches", 1)));
67
68REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL,
69 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(),
70 framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]71 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]72 framework::dataset::make("Batches", 1)));
73
74REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL,
75 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(),
76 framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]77 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]78 framework::dataset::make("Batches", 1)));
79
80REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL,
81 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(),
82 framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]83 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]84 framework::dataset::make("Batches", 1)));
85
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]86REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]87 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
88 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]89 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]90 framework::dataset::make("Batches", 1)));
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]91
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]92REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]93 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]94 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]95 framework::dataset::make("Batches", 1)));
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]96
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]97REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]98 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
99 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]100 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]101 framework::dataset::make("Batches", 1)));
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]102
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]103REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]104 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
105 ActivationLayerInfo())),
SiCong Lif583fb72017-08-15 15:09:18 +0100[diff] [blame]106 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]107 framework::dataset::make("Batches", 1)));
SiCong Lif583fb72017-08-15 15:09:18 +0100[diff] [blame]108
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]109REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]110 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
111 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]112 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]113 framework::dataset::make("Batches", 1)));
SiCong Li0aea8902017-07-21 18:24:36 +0100[diff] [blame]114
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]115REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]116 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
117 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]118 data_types),
119 framework::dataset::make("Batches", 1)));
120
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]121TEST_SUITE(NIGHTLY)
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]122REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]123 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
124 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]125 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]126 framework::dataset::make("Batches", { 4, 8 })));
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]127
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]128REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]129 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]130 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]131 framework::dataset::make("Batches", { 4, 8 })));
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]132
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]133REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]134 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
135 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]136 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]137 framework::dataset::make("Batches", { 4, 8 })));
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]138
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]139REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]140 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
141 ActivationLayerInfo())),
SiCong Lif583fb72017-08-15 15:09:18 +0100[diff] [blame]142 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]143 framework::dataset::make("Batches", { 4, 8 })));
SiCong Lif583fb72017-08-15 15:09:18 +0100[diff] [blame]144
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]145REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]146 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
147 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]148 data_types),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]149 framework::dataset::make("Batches", { 4, 8 })));
150
Moritz Pflanzer351c20a2017-09-11 14:28:56 +0100[diff] [blame]151// 8 batches use about 1.8GB of memory which is too much for most devices!
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]152REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]153 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo",
154 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
SiCong Licc65bbe2017-08-18 11:58:21 +0100[diff] [blame]155 data_types),
Moritz Pflanzer351c20a2017-09-11 14:28:56 +0100[diff] [blame]156 framework::dataset::make("Batches", { 1, 4 })));
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]157
Gian Marco Iodice2bc74412018-03-01 16:32:10 +0000[diff] [blame]158REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
Isabella Gottardi3f217ec2018-02-12 14:59:19 +0000[diff] [blame]159 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]160 data_types),
161 framework::dataset::make("Batches", { 1, 4, 8 })));
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]162
163REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
164 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(),
165 framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]166 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]167 framework::dataset::make("Batches", { 4, 8 })));
168
169REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
170 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(),
171 framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]172 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]173 framework::dataset::make("Batches", { 4, 8 })));
174
175REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
176 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(),
177 framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]178 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]179 framework::dataset::make("Batches", { 4, 8 })));
180
181REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
182 framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(),
183 framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
Vidhya Sudhan Loganathan71ecf392018-08-31 16:10:16 +0100[diff] [blame]184 framework::dataset::make("DataType", { DataType::F16, DataType::F32 })),
Vidhya Sudhan Loganathanb34690b2018-04-19 14:22:16 +0100[diff] [blame]185 framework::dataset::make("Batches", { 4, 8 })));
SiCong Li1e5c1572017-07-27 17:58:52 +0100[diff] [blame]186TEST_SUITE_END()
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]187TEST_SUITE_END()
Michalis Spyrou724079d2017-12-15 11:37:37 +0000[diff] [blame]188} // namespace benchmark
Moritz Pflanzeree493ae2017-07-05 10:52:21 +0100[diff] [blame]189} // namespace test
190} // namespace arm_compute