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Diffstat (limited to 'tests/benchmark/NEON/NormalizationLayer.cpp')
-rw-r--r-- | tests/benchmark/NEON/NormalizationLayer.cpp | 110 |
1 files changed, 0 insertions, 110 deletions
diff --git a/tests/benchmark/NEON/NormalizationLayer.cpp b/tests/benchmark/NEON/NormalizationLayer.cpp deleted file mode 100644 index 8ea8c95cda..0000000000 --- a/tests/benchmark/NEON/NormalizationLayer.cpp +++ /dev/null @@ -1,110 +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 "Globals.h" -#include "NEON/NEAccessor.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/NEON/functions/NENormalizationLayer.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.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::neon; - -#include "benchmark/common/NormalizationLayer.h" - -namespace -{ -using NormalizationLayerAlexNetF32 = NormalizationLayer<AlexNetNormalizationLayerDataset, Tensor, NEAccessor, NENormalizationLayer>; -using NormalizationLayerAlexNetQS8 = NormalizationLayer<AlexNetNormalizationLayerDataset, Tensor, NEAccessor, NENormalizationLayer, DataType::QS8>; -using NormalizationLayerGoogLeNet = NormalizationLayer<GoogLeNetNormalizationLayerDataset, Tensor, NEAccessor, NENormalizationLayer>; -} // namespace - -// F32 -BENCHMARK_DEFINE_F(NormalizationLayerAlexNetF32, neon_alexnet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - norm_layer->run(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(NormalizationLayerAlexNetF32, neon_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetNormalizationLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(NormalizationLayerAlexNetF32, neon_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetNormalizationLayerDataset, 1, 1, 4, 8>); - -// QS8 -BENCHMARK_DEFINE_F(NormalizationLayerAlexNetQS8, neon_alexnet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - norm_layer->run(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(NormalizationLayerAlexNetQS8, neon_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetNormalizationLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(NormalizationLayerAlexNetQS8, neon_alexnet) -->Threads(1) -->Apply(DataSetArgBatched<AlexNetNormalizationLayerDataset, 1, 1, 4, 8>); - -BENCHMARK_DEFINE_F(NormalizationLayerGoogLeNet, neon_googlenet) -(::benchmark::State &state) -{ - while(state.KeepRunning()) - { - // Run function - profiler.start(); - norm_layer->run(); - profiler.stop(); - } -} - -BENCHMARK_REGISTER_F(NormalizationLayerGoogLeNet, neon_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetNormalizationLayerDataset, 0, 1, 4, 8>); -BENCHMARK_REGISTER_F(NormalizationLayerGoogLeNet, neon_googlenet) -->Threads(1) -->Apply(DataSetArgBatched<GoogLeNetNormalizationLayerDataset, 1, 1, 4, 8>); |