tests/benchmark/CL/BatchNormalizationLayer.cpp

/*
 * Copyright (c) 2017-2019 ARM Limited.
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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/CLBatchNormalizationLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/benchmark/fixtures/BatchNormalizationLayerFixture.h"
#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h"
#include "tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h"
#include "tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "utils/TypePrinter.h"

namespace arm_compute
{
namespace test
{
namespace benchmark
{
namespace
{
const auto data_types   = framework::dataset::make("DataType", { DataType::F32 });
const auto data_layouts = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
const auto data_act     = framework::dataset::make("ActivationInfo", ActivationLayerInfo());
const auto data_GB      = combine(framework::dataset::make("UseGamma", { false, true }),
                                  framework::dataset::make("UseBeta", { false, true }));
const auto batch_one        = combine(combine(data_types, data_layouts), framework::dataset::make("Batches", 1));
const auto batch_four_eight = combine(combine(data_types, data_layouts), framework::dataset::make("Batches", { 4, 8 }));
} // namespace

using CLBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<CLTensor, CLBatchNormalizationLayer, CLAccessor>;

TEST_SUITE(CL)

REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
                                combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB),
                                                framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))),
                                        batch_one));

REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
                                combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_one));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
                                combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_one));

TEST_SUITE(NIGHTLY)

REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
                                combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(), data_GB),
                                                framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))),
                                        batch_four_eight));

REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
                                combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight));

REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
                                combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_GB), data_act), batch_four_eight));
TEST_SUITE_END()
TEST_SUITE_END()
} // namespace benchmark
} // namespace test
} // namespace arm_compute