Blame - tests/benchmark/CL/ActivationLayer.cpp - ml/ComputeLibrary

Moritz Pflanzer

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/*

Georgios Pinitas

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Moritz Pflanzer

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*

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* SPDX-License-Identifier: MIT

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*

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* Permission is hereby granted, free of charge, to any person obtaining a copy

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* of this software and associated documentation files (the "Software"), to

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* deal in the Software without restriction, including without limitation the

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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or

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* sell copies of the Software, and to permit persons to whom the Software is

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* furnished to do so, subject to the following conditions:

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*

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* The above copyright notice and this permission notice shall be included in all

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* copies or substantial portions of the Software.

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*

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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

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* SOFTWARE.

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*/

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#include "arm_compute/core/TensorShape.h"

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#include "arm_compute/core/Types.h"

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#include "arm_compute/runtime/CL/CLTensor.h"

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#include "arm_compute/runtime/CL/CLTensorAllocator.h"

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#include "arm_compute/runtime/CL/functions/CLActivationLayer.h"

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#include "tests/CL/CLAccessor.h"

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#include "tests/benchmark/fixtures/ActivationLayerFixture.h"

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#include "tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h"

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#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h"

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#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h"

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#include "tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h"

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#include "tests/datasets/system_tests/mobilenet/MobileNetActivationLayerDataset.h"

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#include "tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h"

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#include "tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h"

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#include "tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h"

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#include "tests/framework/Macros.h"

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#include "tests/framework/datasets/Datasets.h"

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#include "utils/TypePrinter.h"

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namespace arm_compute

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{

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namespace test

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{

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namespace benchmark

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{

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namespace

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{

Vidhya Sudhan Loganathan

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const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });

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const auto data_types_mobilenet = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QASYMM8 });

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} // namespace

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using CLActivationLayerFixture = ActivationLayerFixture<CLTensor, CLActivationLayer, CLAccessor>;

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TEST_SUITE(CL)

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REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(),

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data_types_mobilenet),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,

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framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", 1)));

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TEST_SUITE(NIGHTLY)

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REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(),

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data_types_mobilenet),

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framework::dataset::make("Batches", { 4, 8 })));

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REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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SiCong Li

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REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,

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framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(),

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data_types),

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framework::dataset::make("Batches", { 4, 8 })));

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TEST_SUITE_END()

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TEST_SUITE_END()

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} // namespace benchmark

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} // namespace test

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} // namespace arm_compute