aboutsummaryrefslogtreecommitdiff
path: root/tests/benchmark/NEON/FullyConnectedLayer.cpp
blob: d0fb04f000db178b3a18fb30c259f534bf84cbb4 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
/*
 * Copyright (c) 2017-2018 ARM Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/benchmark/fixtures/FullyConnectedLayerFixture.h"
#include "tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h"
#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h"
#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h"
#include "tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h"
#include "tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "utils/TypePrinter.h"

namespace arm_compute
{
namespace test
{
namespace benchmark
{
namespace
{
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
#else  /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const auto data_types = framework::dataset::make("DataType", { DataType::F32 });
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
} // namespace

using NEFullyConnectedLayerFixture = FullyConnectedLayerFixture<Tensor, NEFullyConnectedLayer, Accessor>;

TEST_SUITE(NEON)

REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 1)));

REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 1)));

REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 1)));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 1)));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 1)));

TEST_SUITE(NIGHTLY)
REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 4, 8 })));

REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 4, 8 })));

REGISTER_FIXTURE_DATA_TEST_CASE(VGG16FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 2 })));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 4, 8 })));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 4, 8 })));
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace benchmark
} // namespace test
} // namespace arm_compute