tests/benchmark_new/CL/ConvolutionLayer.cpp

/*
 * Copyright (c) 2017 ARM Limited.
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 * SPDX-License-Identifier: MIT
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 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
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#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h"
#include "framework/Macros.h"
#include "framework/datasets/Datasets.h"
#include "tests/CL/CLAccessor.h"
#include "tests/TypePrinter.h"
#include "tests/datasets_new/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
#include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
#include "tests/datasets_new/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h"
#include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
#include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
#include "tests/fixtures_new/ConvolutionLayerFixture.h"

namespace arm_compute
{
namespace test
{
namespace
{
const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
} // namespace

using CLConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLConvolutionLayer, CLAccessor>;

TEST_SUITE(CL)

REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 1, 4 })));

REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 1, 4 })));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 1, 4 })));

REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 1, 4 })));

TEST_SUITE(NIGHTLY)
REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 8)));

REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 8)));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 8)));

REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", 8)));

REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(),
                                                                                        data_types),
                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace test
} // namespace arm_compute