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Anthony Barbier7068f992017-10-26 15:23:08 +01001/*
2 * Copyright (c) 2017 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 * 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/GLES_COMPUTE/GCTensor.h"
27#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h"
28#include "arm_compute/runtime/GLES_COMPUTE/functions/GCDirectConvolutionLayer.h"
29#include "tests/GLES_COMPUTE/GCAccessor.h"
30#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
31#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
32#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
33#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
34#include "tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
35#include "tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"
36#include "tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
37#include "tests/framework/Macros.h"
38#include "tests/framework/datasets/Datasets.h"
39#include "utils/TypePrinter.h"
40
41namespace arm_compute
42{
43namespace test
44{
45namespace
46{
47const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::F16 });
48} // namespace
49
50using GCConvolutionLayerFixture = ConvolutionLayerFixture<GCTensor, GCDirectConvolutionLayer, GCAccessor>;
51
52TEST_SUITE(GC)
53
54REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL,
55 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
56 data_types),
57 framework::dataset::make("Batches", 1)));
58
59REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL,
60 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(),
61 data_types),
62 framework::dataset::make("Batches", 1)));
63
64REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL,
65 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
66 data_types),
67 framework::dataset::make("Batches", 1)));
68
69REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::ALL,
70 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
71 data_types),
72 framework::dataset::make("Batches", 1)));
73
74TEST_SUITE(NIGHTLY)
75REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
76 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
77 data_types),
78 framework::dataset::make("Batches", { 4, 8 })));
79
80REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
81 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(),
82 data_types),
83 framework::dataset::make("Batches", { 4, 8 })));
84
85REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
86 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
87 data_types),
88 framework::dataset::make("Batches", { 4, 8 })));
89
90REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
91 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
92 data_types),
93 framework::dataset::make("Batches", { 4, 8 })));
94
95REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
96 framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(),
97 data_types),
98 framework::dataset::make("Batches", { 1, 4, 8 })));
99
100REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, GCConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
101 framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(),
102 data_types),
103 framework::dataset::make("Batches", { 1, 4, 8 })));
104TEST_SUITE_END()
105TEST_SUITE_END()
106} // namespace test
107} // namespace arm_compute