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Diffstat (limited to 'tests/benchmark/CL/ActivationLayer.cpp')
-rw-r--r-- | tests/benchmark/CL/ActivationLayer.cpp | 211 |
1 files changed, 0 insertions, 211 deletions
diff --git a/tests/benchmark/CL/ActivationLayer.cpp b/tests/benchmark/CL/ActivationLayer.cpp deleted file mode 100644 index 52a357b2a6..0000000000 --- a/tests/benchmark/CL/ActivationLayer.cpp +++ /dev/null @@ -1,211 +0,0 @@ -/* - * Copyright (c) 2017 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 "CL/CLAccessor.h" -#include "Globals.h" -#include "TensorLibrary.h" -#include "benchmark/Datasets.h" -#include "benchmark/Profiler.h" -#include "benchmark/WallClockTimer.h" - -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CL/CLScheduler.h" -#include "arm_compute/runtime/CL/CLTensor.h" -#include "arm_compute/runtime/CL/CLTensorAllocator.h" -#include "arm_compute/runtime/CL/functions/CLActivationLayer.h" - -#include "benchmark/benchmark_api.h" - -using namespace arm_compute; -using namespace arm_compute::test; -using namespace arm_compute::test::benchmark; -using namespace arm_compute::test::cl; - -#include "benchmark/common/ActivationLayer.h" - -namespace -{ -using ActivationLayerAlexNet = ActivationLayer<AlexNetActivationLayerDataset, CLTensor, CLAccessor, CLActivationLayer>; -using ActivationLayerLeNet5 = ActivationLayer<LeNet5ActivationLayerDataset, CLTensor, CLAccessor, CLActivationLayer>; -using ActivationLayerGoogLeNet = ActivationLayer<GoogLeNetActivationLayerDataset, CLTensor, CLAccessor, CLActivationLayer>; -} // namespace - -BENCHMARK_DEFINE_F(ActivationLayerAlexNet, cl_alexnet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - act_layer.run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(ActivationLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 1, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 2, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 3, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetActivationLayerDataset, 4, 1, 4, 8>); - -BENCHMARK_DEFINE_F(ActivationLayerLeNet5, cl_lenet5) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - act_layer.run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(ActivationLayerLeNet5, cl_lenet5) -->Threads(1) -->Apply(DataSetArgBatched<LeNet5ActivationLayerDataset, 0, 1, 4, 8>); - -BENCHMARK_DEFINE_F(ActivationLayerGoogLeNet, cl_googlenet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - act_layer.run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 1, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 2, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 3, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 4, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 5, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 6, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 7, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 8, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 9, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 10, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 11, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 12, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 13, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 14, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 15, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 16, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 17, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 18, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 19, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 20, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 21, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 22, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 23, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 24, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 25, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 26, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 27, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 28, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 29, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 30, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 31, 1, 4, 8>); -BENCHMARK_REGISTER_F(ActivationLayerGoogLeNet, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetActivationLayerDataset, 32, 1, 4, 8>); |