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/*
* Copyright (c) 2016, 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_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/CLMemoryGroup.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 <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);
};
/** 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);
// Inherited methods overriden:
void run() override;
private:
CLMemoryGroup _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);
};
}
#endif /*__ARM_COMPUTE_CLCONVOLUTION_H__ */
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