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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvolution.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLConvolution.h | 168 |
1 files changed, 0 insertions, 168 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolution.h b/arm_compute/runtime/CL/functions/CLConvolution.h deleted file mode 100644 index 72ef8ce7b8..0000000000 --- a/arm_compute/runtime/CL/functions/CLConvolution.h +++ /dev/null @@ -1,168 +0,0 @@ -/* - * Copyright (c) 2016-2020 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_CLCONVOLUTION_H -#define ARM_COMPUTE_CLCONVOLUTION_H - -#include "arm_compute/core/CL/kernels/CLConvolutionKernel.h" -#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CL/CLTensor.h" -#include "arm_compute/runtime/CL/ICLSimpleFunction.h" -#include "arm_compute/runtime/IFunction.h" -#include "arm_compute/runtime/IMemoryManager.h" -#include "arm_compute/runtime/MemoryGroup.h" - -#include <cstdint> -#include <memory> - -namespace arm_compute -{ -class ICLTensor; - -/** Basic function to execute convolution of size 3x3. This function calls the following OpenCL kernels: - * - * -# @ref CLFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) - * -# @ref CLConvolution3x3Kernel - * - */ -class CLConvolution3x3 : public ICLSimpleFunction -{ -public: - /** Initialize the function's source, destination, conv and border_mode. - * - * @param[in,out] input Source tensor. Data types 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(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); - /** Initialize the function's source, destination, conv and border_mode. - * - * @param[in] compile_context The compile context to be used. - * @param[in,out] input Source tensor. Data types 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(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); -}; - -/** Basic function to execute square convolution.Currently it supports 5x5, 7x7, 9x9. This function calls the following OpenCL kernels: - * - * -# @ref CLFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) - * -# @ref CLConvolutionKernel or<br/> - * @ref CLSeparableConvolutionHorKernel and @ref CLSeparableConvolutionVertKernel (if convolution matrix is separable) - * - */ -template <unsigned int matrix_size> -class CLConvolutionSquare : public IFunction -{ -public: - /** Default constructor */ - CLConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager = nullptr); - /** Initialize the function's source, destination, conv and border_mode. - * - * @param[in,out] input Source tensor. Data types 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(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); - /** Initialize the function's source, destination, conv and border_mode. - * - * @param[in] compile_context The compile context to be used. - * @param[in,out] input Source tensor. Data types 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(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); - - // Inherited methods overriden: - void run() override; - -private: - MemoryGroup _memory_group; /**< Function's memory group */ - CLTensor _tmp; /**< temporary buffer for output of horizontal pass */ - bool _is_separable; /**< true if the convolution can be separated */ - CLSeparableConvolutionHorKernel<matrix_size> _kernel_hor; /**< kernel for horizontal pass of separated convolution */ - CLSeparableConvolutionVertKernel<matrix_size> _kernel_vert; /**< kernel for vertical pass of separated convolution */ - CLConvolutionKernel<matrix_size> _kernel; /**< kernel for non-separated convolution **/ - CLFillBorderKernel _border_handler; /**< kernel for border handling */ -}; - -/** Basic function to run 5x5 convolution. */ -using CLConvolution5x5 = CLConvolutionSquare<5>; -/** Basic function to run 7x7 convolution. */ -using CLConvolution7x7 = CLConvolutionSquare<7>; -/** Basic function to run 9x9 convolution. */ -using CLConvolution9x9 = CLConvolutionSquare<9>; - -/** Basic function to execute non-square convolution. This function calls the following CL kernels: - * - * -# @ref CLFillBorderKernel (executed if border_mode == CONSTANT or border_mode == REPLICATE) - * -# @ref CLConvolutionRectangleKernel or<br/> - * - * @note Convolution rectangle should have dimensions of 3, 5, 7, 9 - */ -class CLConvolutionRectangle : public ICLSimpleFunction -{ -public: - /** Initialize the function's source, destination, conv and border_mode. - * - * @param[in,out] input Source tensor. Data types 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(ICLTensor *input, ICLTensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value = 0); - /** Initialize the function's source, destination, conv and border_mode. - * - * @param[in] compile_context The compile context to be used. - * @param[in,out] input Source tensor. Data types 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(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *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_CLCONVOLUTION_H */ |