/* * 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 "CL/Helper.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/CLBitwiseAnd.h" #include "benchmark/benchmark_api.h" #include #include using namespace arm_compute; using namespace arm_compute::test; using namespace arm_compute::test::benchmark; using namespace arm_compute::test::cl; namespace { template class BitwiseAnd : public ::benchmark::Fixture { public: void SetUp(::benchmark::State &state) override { ::benchmark::Fixture::SetUp(state); profiler.add(std::make_shared()); const std::string image_name = *(DataSet().begin() + state.range(0)); // Create tensors src1 = create_tensor(image_name, DataType::U8); src2 = create_tensor(image_name, DataType::U8); dst = create_tensor(image_name, DataType::U8); // Create and configure function band.configure(&src1, &src2, &dst); // Allocate tensors src1.allocator()->allocate(); src2.allocator()->allocate(); dst.allocator()->allocate(); // Fill source tensors library->fill(CLAccessor(src1), image_name, Channel::R); library->fill(CLAccessor(src2), image_name, Channel::G); } void TearDown(::benchmark::State &state) override { profiler.submit(state); ::benchmark::Fixture::TearDown(state); } CLBitwiseAnd band{}; Profiler profiler{}; private: CLTensor src1{}; CLTensor src2{}; CLTensor dst{}; }; using BitwiseAndSmall = BitwiseAnd; using BitwiseAndLarge = BitwiseAnd; } // namespace BENCHMARK_DEFINE_F(BitwiseAndSmall, cl_bitwise_and) (::benchmark::State &state) { while(state.KeepRunning()) { // Run function profiler.start(); band.run(); CLScheduler::get().sync(); profiler.stop(); } } BENCHMARK_REGISTER_F(BitwiseAndSmall, cl_bitwise_and) ->Threads(1) ->Apply(DataSetArgs); BENCHMARK_DEFINE_F(BitwiseAndLarge, cl_bitwise_and) (::benchmark::State &state) { while(state.KeepRunning()) { // Run function profiler.start(); band.run(); CLScheduler::get().sync(); profiler.stop(); } } BENCHMARK_REGISTER_F(BitwiseAndLarge, cl_bitwise_and) ->Threads(1) ->Apply(DataSetArgs);