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-rw-r--r--tests/benchmark/NEON/BatchNormalizationLayer.cpp114
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diff --git a/tests/benchmark/NEON/BatchNormalizationLayer.cpp b/tests/benchmark/NEON/BatchNormalizationLayer.cpp
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-/*
- * 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/NEBatchNormalizationLayer.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-#include "tests/NEON/Accessor.h"
-#include "tests/framework/Macros.h"
-#include "tests/framework/datasets/Datasets.h"
-#include "utils/TypePrinter.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"
-
-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 NEBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<Tensor, NEBatchNormalizationLayer, Accessor>;
-
-TEST_SUITE(NEON)
-
-REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(),
- combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }))),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
- data_types),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("Batches", 1)));
-REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(),
- combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }))),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
- data_types),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("Batches", 1)));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),
- combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }))),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
- data_types),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("Batches", 1)));
-
-TEST_SUITE(NIGHTLY)
-REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(datasets::MobileNetBatchNormalizationLayerDataset(),
- combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }))),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
- data_types),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("Batches", { 4, 8 })));
-REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(datasets::YOLOV2BatchNormalizationLayerDataset(),
- combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }))),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
- data_types),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("Batches", { 4, 8 })));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(),
- combine(framework::dataset::make("UseGamma", { false, true }),
- framework::dataset::make("UseBeta", { false, true }))),
- framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
- data_types),
- framework::dataset::make("DataLayout", { DataLayout::NCHW })),
- framework::dataset::make("Batches", { 4, 8 })));
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute