148 lines
7.8 KiB
C++
148 lines
7.8 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Peng Xiao, pengxiao@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other oclMaterials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_OCL_PRIVATE_UTIL__
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#define __OPENCV_OCL_PRIVATE_UTIL__
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#if defined __APPLE__
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#include <OpenCL/OpenCL.h>
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#else
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#include <CL/opencl.h>
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#endif
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#include "opencv2/ocl.hpp"
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namespace cv
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{
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namespace ocl
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{
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enum openCLMemcpyKind
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{
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clMemcpyHostToDevice = 0,
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clMemcpyDeviceToHost,
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clMemcpyDeviceToDevice
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};
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///////////////////////////OpenCL call wrappers////////////////////////////
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void CV_EXPORTS openCLMallocPitch(Context *clCxt, void **dev_ptr, size_t *pitch,
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size_t widthInBytes, size_t height);
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void CV_EXPORTS openCLMallocPitchEx(Context *clCxt, void **dev_ptr, size_t *pitch,
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size_t widthInBytes, size_t height,
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DevMemRW rw_type, DevMemType mem_type, void* hptr = 0);
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void CV_EXPORTS openCLMemcpy2D(Context *clCxt, void *dst, size_t dpitch,
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const void *src, size_t spitch,
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size_t width, size_t height, openCLMemcpyKind kind, int channels = -1);
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void CV_EXPORTS openCLCopyBuffer2D(Context *clCxt, void *dst, size_t dpitch, int dst_offset,
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const void *src, size_t spitch,
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size_t width, size_t height, int src_offset);
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void CV_EXPORTS openCLFree(void *devPtr);
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cl_mem CV_EXPORTS openCLCreateBuffer(Context *clCxt, size_t flag, size_t size);
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void CV_EXPORTS openCLReadBuffer(Context *clCxt, cl_mem dst_buffer, void *host_buffer, size_t size);
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cl_kernel CV_EXPORTS openCLGetKernelFromSource(const Context *clCxt,
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const char **source, String kernelName);
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cl_kernel CV_EXPORTS openCLGetKernelFromSource(const Context *clCxt,
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const char **source, String kernelName, const char *build_options);
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void CV_EXPORTS openCLVerifyKernel(const Context *clCxt, cl_kernel kernel, size_t *localThreads);
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void CV_EXPORTS openCLExecuteKernel(Context *clCxt , const char **source, String kernelName, std::vector< std::pair<size_t, const void *> > &args,
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int globalcols , int globalrows, size_t blockSize = 16, int kernel_expand_depth = -1, int kernel_expand_channel = -1);
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void CV_EXPORTS openCLExecuteKernel_(Context *clCxt , const char **source, String kernelName,
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size_t globalThreads[3], size_t localThreads[3],
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std::vector< std::pair<size_t, const void *> > &args, int channels, int depth, const char *build_options);
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void CV_EXPORTS openCLExecuteKernel(Context *clCxt , const char **source, String kernelName, size_t globalThreads[3],
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size_t localThreads[3], std::vector< std::pair<size_t, const void *> > &args, int channels, int depth);
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void CV_EXPORTS openCLExecuteKernel(Context *clCxt , const char **source, String kernelName, size_t globalThreads[3],
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size_t localThreads[3], std::vector< std::pair<size_t, const void *> > &args, int channels,
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int depth, const char *build_options);
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cl_mem CV_EXPORTS load_constant(cl_context context, cl_command_queue command_queue, const void *value,
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const size_t size);
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cl_mem CV_EXPORTS openCLMalloc(cl_context clCxt, size_t size, cl_mem_flags flags, void *host_ptr);
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int CV_EXPORTS savetofile(const Context *clcxt, cl_program &program, const char *fileName);
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enum FLUSH_MODE
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{
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CLFINISH = 0,
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CLFLUSH,
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DISABLE
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};
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void CV_EXPORTS openCLExecuteKernel2(Context *clCxt , const char **source, String kernelName, size_t globalThreads[3],
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size_t localThreads[3], std::vector< std::pair<size_t, const void *> > &args, int channels, int depth, FLUSH_MODE finish_mode = DISABLE);
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void CV_EXPORTS openCLExecuteKernel2(Context *clCxt , const char **source, String kernelName, size_t globalThreads[3],
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size_t localThreads[3], std::vector< std::pair<size_t, const void *> > &args, int channels,
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int depth, char *build_options, FLUSH_MODE finish_mode = DISABLE);
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// bind oclMat to OpenCL image textures
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// note:
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// 1. there is no memory management. User need to explicitly release the resource
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// 2. for faster clamping, there is no buffer padding for the constructed texture
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cl_mem CV_EXPORTS bindTexture(const oclMat &mat);
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void CV_EXPORTS releaseTexture(cl_mem& texture);
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// returns whether the current context supports image2d_t format or not
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bool CV_EXPORTS support_image2d(Context *clCxt = Context::getContext());
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// the enums are used to query device information
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enum DEVICE_INFO
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{
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WAVEFRONT_SIZE,
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IS_CPU_DEVICE
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};
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template<DEVICE_INFO _it, typename _ty>
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_ty queryDeviceInfo(cl_kernel kernel = NULL);
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//only these three specializations are implemented at the moment
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template<>
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int CV_EXPORTS queryDeviceInfo<WAVEFRONT_SIZE, int>(cl_kernel kernel);
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template<>
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size_t CV_EXPORTS queryDeviceInfo<WAVEFRONT_SIZE, size_t>(cl_kernel kernel);
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template<>
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bool CV_EXPORTS queryDeviceInfo<IS_CPU_DEVICE, bool>(cl_kernel kernel);
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}//namespace ocl
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}//namespace cv
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#endif //__OPENCV_OCL_PRIVATE_UTIL__
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