| /* |
| * Copyright (c) 2018-2019 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_CONVOLUTIONFIXTURE |
| #define ARM_COMPUTE_TEST_CONVOLUTIONFIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/Globals.h" |
| #include "tests/Utils.h" |
| #include "tests/framework/Fixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace benchmark |
| { |
| /** Parent fixture that can be used for NEON and CL */ |
| template <typename TensorType, typename Function, typename Accessor> |
| class ConvolutionFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width, unsigned int height, bool is_separable = false) |
| { |
| std::mt19937 gen(library->seed()); |
| const uint8_t constant_border_value = 0; |
| |
| // Generate random scale value between 1 and 255. |
| std::uniform_int_distribution<uint8_t> distribution_scale(1, 255); |
| const uint32_t scale = distribution_scale(gen); |
| |
| ARM_COMPUTE_ERROR_ON(3 != width && 5 != width && 7 != width && 9 != width); |
| ARM_COMPUTE_ERROR_ON(3 != height && 5 != height && 7 != height && 9 != height); |
| |
| std::vector<int16_t> conv(width * height); |
| |
| _width = width; |
| _height = height; |
| |
| if(is_separable) |
| { |
| init_separable_conv(conv.data(), width, height, seed); |
| } |
| else |
| { |
| init_conv(conv.data(), width, height, seed); |
| } |
| |
| // Create tensors |
| src = create_tensor<TensorType>(src_shape, DataType::U8); |
| dst = create_tensor<TensorType>(src_shape, output_data_type); |
| |
| // Configure function |
| configure_target(src, dst, conv.data(), scale, border_mode, constant_border_value); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| library->fill_tensor_uniform(Accessor(dst), 1); |
| } |
| |
| void run() |
| { |
| convolution_func.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| sync_tensor_if_necessary<TensorType>(dst); |
| } |
| |
| protected: |
| virtual void configure_target(TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, |
| BorderMode border_mode, uint8_t border_value) = 0; |
| |
| protected: |
| unsigned int _width{}; |
| unsigned int _height{}; |
| Function convolution_func{}; |
| |
| private: |
| const std::random_device::result_type seed = 0; |
| TensorType src{}; |
| TensorType dst{}; |
| }; |
| |
| /** Child fixture used for square convolutions */ |
| template <typename TensorType, typename Function, typename Accessor> |
| class ConvolutionSquareFixture : public ConvolutionFixture<TensorType, Function, Accessor> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width) |
| { |
| ConvolutionFixture<TensorType, Function, Accessor>::setup(src_shape, output_data_type, border_mode, width, width); |
| } |
| |
| protected: |
| void configure_target(TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, |
| BorderMode border_mode, uint8_t constant_border_value) |
| { |
| this->convolution_func.configure(&src, &dst, conv, scale, border_mode, constant_border_value); |
| } |
| }; |
| |
| /** Child fixture used for rectangular convolutions */ |
| template <typename TensorType, typename Function, typename Accessor> |
| class ConvolutionRectangleFixture : public ConvolutionFixture<TensorType, Function, Accessor> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width, unsigned int height) |
| { |
| ConvolutionFixture<TensorType, Function, Accessor>::setup(src_shape, output_data_type, border_mode, width, height); |
| } |
| |
| protected: |
| void configure_target(TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, |
| BorderMode border_mode, uint8_t constant_border_value) |
| { |
| this->convolution_func.configure(&src, &dst, conv, this->_width, this->_height, scale, border_mode, constant_border_value); |
| } |
| }; |
| |
| /** Child fixture used for separable convolutions */ |
| template <typename TensorType, typename Function, typename Accessor> |
| class ConvolutionSeperableFixture : public ConvolutionFixture<TensorType, Function, Accessor> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width) |
| { |
| ConvolutionFixture<TensorType, Function, Accessor>::setup(src_shape, output_data_type, border_mode, width, width, true); |
| } |
| |
| protected: |
| void configure_target(TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale, |
| BorderMode border_mode, uint8_t constant_border_value) |
| { |
| this->convolution_func.configure(&src, &dst, conv, scale, border_mode, constant_border_value); |
| } |
| }; |
| |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_CONVOLUTIONFIXTURE */ |