192 lines
8.0 KiB
C++
192 lines
8.0 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 materials 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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#include "opencv2/core/opencl/runtime/opencl_core.hpp"
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#include "opencv2/core/ocl_genbase.hpp"
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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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inline cl_device_id getClDeviceID(const Context *ctx)
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{
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return *(cl_device_id*)(ctx->getOpenCLDeviceIDPtr());
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}
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inline cl_context getClContext(const Context *ctx)
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{
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return *(cl_context*)(ctx->getOpenCLContextPtr());
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}
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inline cl_command_queue getClCommandQueue(const Context *ctx)
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{
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return *(cl_command_queue*)(ctx->getOpenCLCommandQueuePtr());
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}
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CV_EXPORTS cv::Mutex& getInitializationMutex();
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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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CV_EXPORTS void openCLMallocPitch(Context *clCxt, void **dev_ptr, size_t *pitch,
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size_t widthInBytes, size_t height);
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CV_EXPORTS void openCLMallocPitchEx(Context *clCxt, void **dev_ptr, size_t *pitch,
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size_t widthInBytes, size_t height, DevMemRW rw_type, DevMemType mem_type);
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CV_EXPORTS void 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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CV_EXPORTS void 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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CV_EXPORTS void openCLFree(void *devPtr);
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CV_EXPORTS cl_mem openCLCreateBuffer(Context *clCxt, size_t flag, size_t size);
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CV_EXPORTS void openCLReadBuffer(Context *clCxt, cl_mem dst_buffer, void *host_buffer, size_t size);
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CV_EXPORTS cl_kernel openCLGetKernelFromSource(const Context *clCxt,
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const cv::ocl::ProgramEntry* source, String kernelName);
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CV_EXPORTS cl_kernel openCLGetKernelFromSource(const Context *clCxt,
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const cv::ocl::ProgramEntry* source, String kernelName, const char *build_options);
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CV_EXPORTS cl_kernel openCLGetKernelFromSource(Context *ctx, const cv::ocl::ProgramEntry* source,
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String kernelName, int channels, int depth, const char *build_options);
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CV_EXPORTS void openCLVerifyKernel(const Context *clCxt, cl_kernel kernel, size_t *localThreads);
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CV_EXPORTS void openCLExecuteKernel(Context *ctx, cl_kernel kernel, size_t globalThreads[3],
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size_t localThreads[3], std::vector< std::pair<size_t, const void *> > &args);
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CV_EXPORTS void openCLExecuteKernel(Context *clCxt , const cv::ocl::ProgramEntry* 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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CV_EXPORTS void openCLExecuteKernel_(Context *clCxt, const cv::ocl::ProgramEntry* 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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CV_EXPORTS void openCLExecuteKernel(Context *clCxt, const cv::ocl::ProgramEntry* 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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CV_EXPORTS void openCLExecuteKernel(Context *clCxt, const cv::ocl::ProgramEntry* 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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CV_EXPORTS cl_mem 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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CV_EXPORTS cl_mem openCLMalloc(cl_context clCxt, size_t size, cl_mem_flags flags, void *host_ptr);
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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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CV_EXPORTS void openCLExecuteKernel2(Context *clCxt, const cv::ocl::ProgramEntry* 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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CV_EXPORTS void openCLExecuteKernel2(Context *clCxt, const cv::ocl::ProgramEntry* 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, 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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CV_EXPORTS cl_mem bindTexture(const oclMat &mat);
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CV_EXPORTS void releaseTexture(cl_mem& texture);
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//Represents an image texture object
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class CV_EXPORTS TextureCL
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{
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public:
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TextureCL(cl_mem tex, int r, int c, int t)
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: tex_(tex), rows(r), cols(c), type(t) {}
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~TextureCL()
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{
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openCLFree(tex_);
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}
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operator cl_mem()
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{
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return tex_;
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}
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cl_mem const tex_;
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const int rows;
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const int cols;
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const int type;
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private:
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//disable assignment
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void operator=(const TextureCL&);
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};
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// bind oclMat to OpenCL image textures and retunrs an TextureCL object
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// note:
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// for faster clamping, there is no buffer padding for the constructed texture
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CV_EXPORTS Ptr<TextureCL> bindTexturePtr(const oclMat &mat);
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CV_EXPORTS bool isCpuDevice();
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CV_EXPORTS size_t queryWaveFrontSize(cl_kernel kernel);
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inline size_t divUp(size_t total, size_t grain)
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{
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return (total + grain - 1) / grain;
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}
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inline size_t roundUp(size_t sz, size_t n)
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{
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// we don't assume that n is a power of 2 (see alignSize)
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// equal to divUp(sz, n) * n
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size_t t = sz + n - 1;
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size_t rem = t % n;
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size_t result = t - rem;
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return result;
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}
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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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