| /* |
| * 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. |
| */ |
| #ifndef __ARM_COMPUTE_TEST_BENCHMARK_NEON_GEMM_H__ |
| #define __ARM_COMPUTE_TEST_BENCHMARK_NEON_GEMM_H__ |
| |
| #include "TensorLibrary.h" |
| #include "Utils.h" |
| #include "dataset/GEMMDataset.h" |
| |
| #include <memory> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::benchmark; |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace benchmark |
| { |
| template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType data_type> |
| class GEMM : public ::benchmark::Fixture |
| { |
| public: |
| void SetUp(::benchmark::State &state) override |
| { |
| #ifdef ENABLE_FP16 |
| ARM_COMPUTE_ERROR_ON_MSG(data_type != DataType::F16 && data_type != DataType::F32 && data_type != DataType::QS8, "Unsupported data type for GEMM operation"); |
| #else /* ENABLE_FP16 */ |
| ARM_COMPUTE_ERROR_ON_MSG(data_type != DataType::F32 && data_type != DataType::QS8, "Unsupported data type for GEMM operation"); |
| #endif /* ENABLE_FP16 */ |
| |
| profiler.add(std::make_shared<WallClockTimer>()); |
| |
| const GEMMDataObject gemm_obj = *(DataSet().begin() + state.range(0)); |
| |
| TensorShape shape_a = gemm_obj.shape_a; |
| TensorShape shape_b = gemm_obj.shape_b; |
| TensorShape shape_c = gemm_obj.shape_c; |
| TensorShape shape_d = gemm_obj.shape_d; |
| |
| // Create tensors |
| a = create_tensor(shape_a, data_type, 1, 4); |
| b = create_tensor(shape_b, data_type, 1, 4); |
| c = create_tensor(shape_c, data_type, 1, 4); |
| d = create_tensor(shape_d, data_type, 1, 4); |
| |
| // Create and configure function |
| gemm_layer = std::unique_ptr<Function>(new Function()); |
| gemm_layer->configure(&a, &b, &c, &d, gemm_obj.alpha, gemm_obj.beta); |
| |
| // Allocate tensors |
| a.allocator()->allocate(); |
| b.allocator()->allocate(); |
| c.allocator()->allocate(); |
| d.allocator()->allocate(); |
| } |
| |
| void TearDown(::benchmark::State &state) override |
| { |
| gemm_layer.reset(); |
| |
| a.allocator()->free(); |
| b.allocator()->free(); |
| c.allocator()->free(); |
| d.allocator()->free(); |
| |
| profiler.submit(state); |
| } |
| |
| std::unique_ptr<Function> gemm_layer{ nullptr }; |
| Profiler profiler{}; |
| |
| private: |
| TensorType a{}; |
| TensorType b{}; |
| TensorType c{}; |
| TensorType d{}; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif //__ARM_COMPUTE_TEST_BENCHMARK_NEON_GEMM_H__ |