| /* |
| * Copyright (c) 2016-2019 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_NECONVOLUTION_H |
| #define ARM_COMPUTE_NECONVOLUTION_H |
| |
| #include "arm_compute/core/NEON/kernels/NEConvolutionKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/IMemoryManager.h" |
| #include "arm_compute/runtime/MemoryGroup.h" |
| #include "arm_compute/runtime/NEON/INESimpleFunction.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| #include <cstdint> |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Basic function to execute convolution of size 3x3. This function calls the following NEON kernels: |
| * |
| * -# @ref NEFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) |
| * -# @ref NEConvolution3x3Kernel |
| * |
| */ |
| class NEConvolution3x3 : public INESimpleFunction |
| { |
| public: |
| /** Initialize the function's source, destination, conv and border_mode. |
| * |
| * @param[in,out] input Source tensor. Data type supported: U8. (Written to only for @p border_mode != UNDEFINED) |
| * @param[out] output Destination tensor, Data types supported: U8/S16. |
| * @param[in] conv Matrix_size x matrix_size S16 coefficients structured as a row-major 2D array in a linear buffer. |
| * @param[in] scale Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. |
| * @param[in] border_mode Strategy to use for borders. |
| * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. |
| */ |
| void configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); |
| }; |
| |
| /** Basic function to execute convolution of size 5x5, 7x7, 9x9. This function calls the following NEON kernels: |
| * |
| * -# @ref NEFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) |
| * -# @ref NEConvolutionKernel or<br/> |
| * @ref NESeparableConvolutionHorKernel and @ref NESeparableConvolutionVertKernel (if convolution matrix is separable) |
| * |
| */ |
| template <unsigned int matrix_size> |
| class NEConvolutionSquare : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| NEConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager = nullptr); |
| /** Initialize the function's source, destination, conv and border_mode. |
| * |
| * @param[in,out] input Source tensor. Data type supported: U8. (Written to only for @p border_mode != UNDEFINED) |
| * @param[out] output Destination tensor, Data types supported: U8 or S16. |
| * @param[in] conv matrix_size x matrix_size S16 coefficients structured as a row-major 2D array in a linear buffer. |
| * @param[in] scale Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. |
| * @param[in] border_mode Strategy to use for borders. |
| * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. |
| */ |
| void configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); |
| |
| // Inherited methods overridden: |
| void run() override; |
| |
| private: |
| MemoryGroup _memory_group; /**< Function memory group */ |
| Tensor _tmp; /**< temporary buffer for output of horizontal pass */ |
| bool _is_separable; /**< true if the convolution can be separated */ |
| NESeparableConvolutionHorKernel<matrix_size> _kernel_hor; /**< kernel for horizontal pass of separated convolution */ |
| NESeparableConvolutionVertKernel<matrix_size> _kernel_vert; /**< kernel for vertical pass of separated convolution */ |
| NEConvolutionKernel<matrix_size> _kernel; /**< kernel for non-separated convolution **/ |
| NEFillBorderKernel _border_handler; /**< kernel for border handling */ |
| }; |
| |
| /** Basic function to run 5x5 convolution. */ |
| using NEConvolution5x5 = NEConvolutionSquare<5>; |
| /** Basic function to run 7x7 convolution. */ |
| using NEConvolution7x7 = NEConvolutionSquare<7>; |
| /** Basic function to run 9x9 convolution. */ |
| using NEConvolution9x9 = NEConvolutionSquare<9>; |
| |
| /** Basic function to execute non-square convolution. This function calls the following NEON kernels: |
| * |
| * -# @ref NEFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) |
| * -# @ref NEConvolutionRectangleKernel or<br/> |
| * |
| * @note Convolution rectangle should have dimensions of 3, 5, 7, 9 |
| */ |
| class NEConvolutionRectangle : public INESimpleFunction |
| { |
| public: |
| /** Initialize the function's source, destination, conv and border_mode. |
| * |
| * @param[in,out] input Source tensor. Data type supported: U8. (Written to only for @p border_mode != UNDEFINED) |
| * @param[out] output Destination tensor, Data types supported: U8 or S16. |
| * @param[in] conv Matrix_size x matrix_size S16 coefficients structured as a row-major 2D array in a linear buffer. |
| * @param[in] rows Rows of convolution kernel. |
| * @param[in] cols Columns of convolution kernel. |
| * @param[in] scale Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. |
| * @param[in] border_mode Strategy to use for borders. |
| * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. |
| */ |
| void configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); |
| }; |
| } |
| #endif /*ARM_COMPUTE_NECONVOLUTION_H */ |