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Diffstat (limited to 'tests/benchmark/CL/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/benchmark/CL/ConvolutionLayer.cpp | 276 |
1 files changed, 0 insertions, 276 deletions
diff --git a/tests/benchmark/CL/ConvolutionLayer.cpp b/tests/benchmark/CL/ConvolutionLayer.cpp deleted file mode 100644 index e790273f9c..0000000000 --- a/tests/benchmark/CL/ConvolutionLayer.cpp +++ /dev/null @@ -1,276 +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/CLConvolutionLayer.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/ConvolutionLayer.h" - -namespace -{ -using ConvolutionLayerAlexNet = ConvolutionLayer<AlexNetConvolutionLayerDataset, CLTensor, CLAccessor, CLConvolutionLayer>; -using ConvolutionLayerLeNet5 = ConvolutionLayer<LeNet5ConvolutionLayerDataset, CLTensor, CLAccessor, CLConvolutionLayer>; -using ConvolutionLayerGoogLeNet1 = ConvolutionLayer<GoogLeNetConvolutionLayerDataset1, CLTensor, CLAccessor, CLConvolutionLayer>; -using ConvolutionLayerGoogLeNet2 = ConvolutionLayer<GoogLeNetConvolutionLayerDataset2, CLTensor, CLAccessor, CLConvolutionLayer>; -} // namespace - -BENCHMARK_DEFINE_F(ConvolutionLayerAlexNet, cl_alexnet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - conv_layer->run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(ConvolutionLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetConvolutionLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetConvolutionLayerDataset, 1, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetConvolutionLayerDataset, 2, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetConvolutionLayerDataset, 3, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerAlexNet, cl_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetConvolutionLayerDataset, 4, 1, 4, 8>); - -BENCHMARK_DEFINE_F(ConvolutionLayerLeNet5, cl_lenet5) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - conv_layer->run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(ConvolutionLayerLeNet5, cl_lenet5) -->Threads(1) -->Apply(DataSetArgBatched<LeNet5ConvolutionLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerLeNet5, cl_lenet5) -->Threads(1) -->Apply(DataSetArgBatched<LeNet5ConvolutionLayerDataset, 1, 1, 4, 8>); - -BENCHMARK_DEFINE_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - conv_layer->run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_DEFINE_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - conv_layer->run(); - CLScheduler::get().sync(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 1, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 2, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 3, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 4, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 5, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 6, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 7, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 8, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 9, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 10, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 11, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 12, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 13, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 14, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 15, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 16, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 17, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 18, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 19, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 20, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 21, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 22, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 23, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 24, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 25, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 26, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 27, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 28, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 29, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 30, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet1, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset1, 31, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 1, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 2, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 3, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 4, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 5, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 6, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 7, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 8, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 9, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 10, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 11, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 12, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 13, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 14, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 15, 1, 4, 8>); -BENCHMARK_REGISTER_F(ConvolutionLayerGoogLeNet2, cl_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetConvolutionLayerDataset2, 16, 1, 4, 8>); |