mirror of
https://github.com/opencv/opencv.git
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550 lines
22 KiB
C++
550 lines
22 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, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Multicoreware, 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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// Guoping Long, longguoping@gmail.com
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// Niko Li, newlife20080214@gmail.com
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// Yao Wang, bitwangyaoyao@gmail.com
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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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#include "precomp.hpp"
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#include <iomanip>
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#include <fstream>
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#include "cl_programcache.hpp"
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//#define PRINT_KERNEL_RUN_TIME
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#define RUN_TIMES 100
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#ifndef CL_MEM_USE_PERSISTENT_MEM_AMD
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#define CL_MEM_USE_PERSISTENT_MEM_AMD 0
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#endif
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//#define AMD_DOUBLE_DIFFER
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namespace cv {
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namespace ocl {
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DevMemType gDeviceMemType = DEVICE_MEM_DEFAULT;
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DevMemRW gDeviceMemRW = DEVICE_MEM_R_W;
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int gDevMemTypeValueMap[5] = {0,
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CL_MEM_ALLOC_HOST_PTR,
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CL_MEM_USE_HOST_PTR,
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CL_MEM_COPY_HOST_PTR,
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CL_MEM_USE_PERSISTENT_MEM_AMD};
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int gDevMemRWValueMap[3] = {CL_MEM_READ_WRITE, CL_MEM_READ_ONLY, CL_MEM_WRITE_ONLY};
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void finish()
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{
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clFinish(getClCommandQueue(Context::getContext()));
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}
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bool isCpuDevice()
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{
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const DeviceInfo& info = Context::getContext()->getDeviceInfo();
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return (info.deviceType == CVCL_DEVICE_TYPE_CPU);
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}
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size_t queryWaveFrontSize(cl_kernel kernel)
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{
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const DeviceInfo& info = Context::getContext()->getDeviceInfo();
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if (info.deviceType == CVCL_DEVICE_TYPE_CPU)
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return 1;
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size_t wavefront = 0;
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CV_Assert(kernel != NULL);
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openCLSafeCall(clGetKernelWorkGroupInfo(kernel, getClDeviceID(Context::getContext()),
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CL_KERNEL_PREFERRED_WORK_GROUP_SIZE_MULTIPLE, sizeof(size_t), &wavefront, NULL));
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return wavefront;
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}
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void openCLReadBuffer(Context *ctx, cl_mem dst_buffer, void *host_buffer, size_t size)
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{
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cl_int status;
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status = clEnqueueReadBuffer(getClCommandQueue(ctx), dst_buffer, CL_TRUE, 0,
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size, host_buffer, 0, NULL, NULL);
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openCLVerifyCall(status);
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}
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cl_mem openCLCreateBuffer(Context *ctx, size_t flag , size_t size)
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{
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cl_int status;
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cl_mem buffer = clCreateBuffer(getClContext(ctx), (cl_mem_flags)flag, size, NULL, &status);
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openCLVerifyCall(status);
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return buffer;
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}
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#define MEMORY_CORRUPTION_GUARD
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#ifdef MEMORY_CORRUPTION_GUARD
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//#define CHECK_MEMORY_CORRUPTION
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#define CHECK_MEMORY_CORRUPTION_PRINT_ERROR
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#define CHECK_MEMORY_CORRUPTION_RAISE_ERROR
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static const int __memory_corruption_guard_bytes = 64*1024;
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#ifdef CHECK_MEMORY_CORRUPTION
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static const int __memory_corruption_check_pattern = 0x14326547; // change pattern for sizeof(int)==8
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#endif
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struct CheckBuffers
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{
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cl_mem mainBuffer;
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size_t size;
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size_t widthInBytes, height;
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CheckBuffers()
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: mainBuffer(NULL), size(0), widthInBytes(0), height(0)
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{
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// nothing
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}
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CheckBuffers(cl_mem _mainBuffer, size_t _size, size_t _widthInBytes, size_t _height)
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: mainBuffer(_mainBuffer), size(_size), widthInBytes(_widthInBytes), height(_height)
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{
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// nothing
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}
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};
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static std::map<cl_mem, CheckBuffers> __check_buffers;
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#endif
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void openCLMallocPitch(Context *ctx, void **dev_ptr, size_t *pitch,
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size_t widthInBytes, size_t height)
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{
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openCLMallocPitchEx(ctx, dev_ptr, pitch, widthInBytes, height, gDeviceMemRW, gDeviceMemType);
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}
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void openCLMallocPitchEx(Context *ctx, 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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{
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cl_int status;
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size_t size = widthInBytes * height;
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bool useSubBuffers =
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#ifndef MEMORY_CORRUPTION_GUARD
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false;
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#else
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true;
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#endif
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const DeviceInfo& devInfo = ctx->getDeviceInfo();
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if (useSubBuffers && devInfo.isIntelDevice)
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{
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useSubBuffers = false; // TODO FIXIT We observe memory leaks then we working with sub-buffers
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// on the CPU device of Intel OpenCL SDK (Linux). We will investigate this later.
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}
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if (!useSubBuffers)
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{
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*dev_ptr = clCreateBuffer(getClContext(ctx), gDevMemRWValueMap[rw_type]|gDevMemTypeValueMap[mem_type],
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size, 0, &status);
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openCLVerifyCall(status);
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}
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#ifdef MEMORY_CORRUPTION_GUARD
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else
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{
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size_t allocSize = size + __memory_corruption_guard_bytes * 2;
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cl_mem mainBuffer = clCreateBuffer(getClContext(ctx), gDevMemRWValueMap[rw_type]|gDevMemTypeValueMap[mem_type],
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allocSize, 0, &status);
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openCLVerifyCall(status);
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cl_buffer_region r = {__memory_corruption_guard_bytes, size};
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*dev_ptr = clCreateSubBuffer(mainBuffer,
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gDevMemRWValueMap[rw_type]|gDevMemTypeValueMap[mem_type],
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CL_BUFFER_CREATE_TYPE_REGION, &r,
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&status);
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openCLVerifyCall(status);
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#ifdef CHECK_MEMORY_CORRUPTION
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std::vector<int> tmp(__memory_corruption_guard_bytes / sizeof(int),
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__memory_corruption_check_pattern);
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CV_Assert(tmp.size() * sizeof(int) == __memory_corruption_guard_bytes);
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openCLVerifyCall(clEnqueueWriteBuffer(getClCommandQueue(ctx),
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mainBuffer, CL_FALSE, 0, __memory_corruption_guard_bytes, &tmp[0],
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0, NULL, NULL));
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openCLVerifyCall(clEnqueueWriteBuffer(getClCommandQueue(ctx),
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mainBuffer, CL_FALSE, __memory_corruption_guard_bytes + size, __memory_corruption_guard_bytes, &tmp[0],
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0, NULL, NULL));
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clFinish(getClCommandQueue(ctx));
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#endif
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CheckBuffers data(mainBuffer, size, widthInBytes, height);
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cv::AutoLock lock(getInitializationMutex());
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__check_buffers.insert(std::pair<cl_mem, CheckBuffers>((cl_mem)*dev_ptr, data));
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}
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#endif
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*pitch = widthInBytes;
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}
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void openCLMemcpy2D(Context *ctx, 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)
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{
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size_t buffer_origin[3] = {0, 0, 0};
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size_t host_origin[3] = {0, 0, 0};
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size_t region[3] = {width, height, 1};
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if(kind == clMemcpyHostToDevice)
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{
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if(dpitch == width || channels == 3 || height == 1)
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{
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openCLSafeCall(clEnqueueWriteBuffer(getClCommandQueue(ctx), (cl_mem)dst, CL_TRUE,
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0, width * height, src, 0, NULL, NULL));
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}
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else
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{
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openCLSafeCall(clEnqueueWriteBufferRect(getClCommandQueue(ctx), (cl_mem)dst, CL_TRUE,
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buffer_origin, host_origin, region, dpitch, 0, spitch, 0, src, 0, 0, 0));
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}
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}
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else if(kind == clMemcpyDeviceToHost)
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{
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if(spitch == width || channels == 3 || height == 1)
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{
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openCLSafeCall(clEnqueueReadBuffer(getClCommandQueue(ctx), (cl_mem)src, CL_TRUE,
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0, width * height, dst, 0, NULL, NULL));
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}
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else
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{
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openCLSafeCall(clEnqueueReadBufferRect(getClCommandQueue(ctx), (cl_mem)src, CL_TRUE,
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buffer_origin, host_origin, region, spitch, 0, dpitch, 0, dst, 0, 0, 0));
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}
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}
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}
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void openCLCopyBuffer2D(Context *ctx, 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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{
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size_t src_origin[3] = {src_offset % spitch, src_offset / spitch, 0};
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size_t dst_origin[3] = {dst_offset % dpitch, dst_offset / dpitch, 0};
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size_t region[3] = {width, height, 1};
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openCLSafeCall(clEnqueueCopyBufferRect(getClCommandQueue(ctx), (cl_mem)src, (cl_mem)dst, src_origin, dst_origin,
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region, spitch, 0, dpitch, 0, 0, 0, 0));
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}
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void openCLFree(void *devPtr)
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{
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openCLSafeCall(clReleaseMemObject((cl_mem)devPtr));
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#ifdef MEMORY_CORRUPTION_GUARD
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#ifdef CHECK_MEMORY_CORRUPTION
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bool failBefore = false, failAfter = false;
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#endif
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CheckBuffers data;
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{
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cv::AutoLock lock(getInitializationMutex());
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std::map<cl_mem, CheckBuffers>::iterator i = __check_buffers.find((cl_mem)devPtr);
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if (i != __check_buffers.end())
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{
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data = i->second;
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__check_buffers.erase(i);
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}
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}
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if (data.mainBuffer != NULL)
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{
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#ifdef CHECK_MEMORY_CORRUPTION
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Context* ctx = Context::getContext();
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std::vector<uchar> checkBefore(__memory_corruption_guard_bytes);
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std::vector<uchar> checkAfter(__memory_corruption_guard_bytes);
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openCLVerifyCall(clEnqueueReadBuffer(getClCommandQueue(ctx),
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data.mainBuffer, CL_FALSE, 0, __memory_corruption_guard_bytes, &checkBefore[0],
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0, NULL, NULL));
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openCLVerifyCall(clEnqueueReadBuffer(getClCommandQueue(ctx),
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data.mainBuffer, CL_FALSE, __memory_corruption_guard_bytes + data.size, __memory_corruption_guard_bytes, &checkAfter[0],
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0, NULL, NULL));
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clFinish(getClCommandQueue(ctx));
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std::vector<int> tmp(__memory_corruption_guard_bytes / sizeof(int),
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__memory_corruption_check_pattern);
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if (memcmp(&checkBefore[0], &tmp[0], __memory_corruption_guard_bytes) != 0)
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{
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failBefore = true;
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}
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if (memcmp(&checkAfter[0], &tmp[0], __memory_corruption_guard_bytes) != 0)
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{
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failAfter = true;
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}
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#else
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// TODO FIXIT Attach clReleaseMemObject call to event completion callback
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// TODO 2013/12/04 Disable workaround
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// Context* ctx = Context::getContext();
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// clFinish(getClCommandQueue(ctx));
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#endif
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openCLSafeCall(clReleaseMemObject(data.mainBuffer));
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}
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#if defined(CHECK_MEMORY_CORRUPTION)
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if (failBefore)
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{
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#ifdef CHECK_MEMORY_CORRUPTION_PRINT_ERROR
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std::cerr << "ERROR: Memory corruption detected: before buffer: " << cv::format("widthInBytes=%d height=%d", (int)data.widthInBytes, (int)data.height) << std::endl;
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#endif
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#ifdef CHECK_MEMORY_CORRUPTION_RAISE_ERROR
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CV_Error(CV_StsInternal, "Memory corruption detected: before buffer");
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#endif
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}
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if (failAfter)
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{
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#ifdef CHECK_MEMORY_CORRUPTION_PRINT_ERROR
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std::cerr << "ERROR: Memory corruption detected: after buffer: " << cv::format("widthInBytes=%d height=%d", (int)data.widthInBytes, (int)data.height) << std::endl;
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#endif
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#ifdef CHECK_MEMORY_CORRUPTION_RAISE_ERROR
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CV_Error(CV_StsInternal, "Memory corruption detected: after buffer");
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#endif
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}
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#endif // CHECK_MEMORY_CORRUPTION
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#endif // MEMORY_CORRUPTION_GUARD
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}
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cl_kernel openCLGetKernelFromSource(const Context *ctx, const cv::ocl::ProgramEntry* source, string kernelName)
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{
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return openCLGetKernelFromSource(ctx, source, kernelName, NULL);
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}
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cl_kernel openCLGetKernelFromSource(const Context *ctx, const cv::ocl::ProgramEntry* source, string kernelName,
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const char *build_options)
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{
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cl_kernel kernel;
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cl_int status = 0;
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CV_Assert(ProgramCache::getProgramCache() != NULL);
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cl_program program = ProgramCache::getProgramCache()->getProgram(ctx, source, build_options);
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CV_Assert(program != NULL);
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kernel = clCreateKernel(program, kernelName.c_str(), &status);
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openCLVerifyCall(status);
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openCLVerifyCall(clReleaseProgram(program));
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return kernel;
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}
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void openCLVerifyKernel(const Context *ctx, cl_kernel kernel, size_t *localThreads)
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{
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size_t kernelWorkGroupSize;
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openCLSafeCall(clGetKernelWorkGroupInfo(kernel, getClDeviceID(ctx),
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CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &kernelWorkGroupSize, 0));
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CV_Assert( localThreads[0] <= ctx->getDeviceInfo().maxWorkItemSizes[0] );
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CV_Assert( localThreads[1] <= ctx->getDeviceInfo().maxWorkItemSizes[1] );
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CV_Assert( localThreads[2] <= ctx->getDeviceInfo().maxWorkItemSizes[2] );
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CV_Assert( localThreads[0] * localThreads[1] * localThreads[2] <= kernelWorkGroupSize );
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CV_Assert( localThreads[0] * localThreads[1] * localThreads[2] <= ctx->getDeviceInfo().maxWorkGroupSize );
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}
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#ifdef PRINT_KERNEL_RUN_TIME
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static double total_execute_time = 0;
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static double total_kernel_time = 0;
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#endif
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static std::string removeDuplicatedWhiteSpaces(const char * buildOptions)
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{
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if (buildOptions == NULL)
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return "";
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size_t length = strlen(buildOptions), didx = 0, sidx = 0;
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while (sidx < length && buildOptions[sidx] == 0)
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++sidx;
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std::string opt;
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opt.resize(length);
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for ( ; sidx < length; ++sidx)
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if (buildOptions[sidx] != ' ')
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opt[didx++] = buildOptions[sidx];
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else if ( !(didx > 0 && opt[didx - 1] == ' ') )
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opt[didx++] = buildOptions[sidx];
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return opt;
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}
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cl_kernel openCLGetKernelFromSource(Context *ctx, const cv::ocl::ProgramEntry* source, string kernelName, int channels,
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int depth, const char *build_options)
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{
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//construct kernel name
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//The rule is functionName_Cn_Dn, C represent Channels, D Represent DataType Depth, n represent an integer number
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//for example split_C2_D3, represent the split kernel with channels = 2 and dataType Depth = 3(Data type is short)
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stringstream idxStr;
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if(channels != -1)
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idxStr << "_C" << channels;
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if(depth != -1)
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idxStr << "_D" << depth;
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kernelName += idxStr.str();
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std::string fixedOptions = removeDuplicatedWhiteSpaces(build_options);
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cl_kernel kernel = openCLGetKernelFromSource(ctx, source, kernelName, fixedOptions.c_str());
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return kernel;
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}
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void openCLExecuteKernel(Context *ctx, cl_kernel kernel, size_t globalThreads[3],
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size_t localThreads[3], vector< pair<size_t, const void *> > &args)
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{
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if ( localThreads != NULL)
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{
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globalThreads[0] = roundUp(globalThreads[0], localThreads[0]);
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globalThreads[1] = roundUp(globalThreads[1], localThreads[1]);
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globalThreads[2] = roundUp(globalThreads[2], localThreads[2]);
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cv::ocl::openCLVerifyKernel(ctx, kernel, localThreads);
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}
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for(size_t i = 0; i < args.size(); i ++)
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openCLSafeCall(clSetKernelArg(kernel, i, args[i].first, args[i].second));
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#ifndef PRINT_KERNEL_RUN_TIME
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openCLSafeCall(clEnqueueNDRangeKernel(getClCommandQueue(ctx), kernel, 3, NULL, globalThreads,
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localThreads, 0, NULL, NULL));
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#else
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cl_event event = NULL;
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openCLSafeCall(clEnqueueNDRangeKernel(getClCommandQueue(ctx), kernel, 3, NULL, globalThreads,
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localThreads, 0, NULL, &event));
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cl_ulong start_time, end_time, queue_time;
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double execute_time = 0;
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double total_time = 0;
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openCLSafeCall(clWaitForEvents(1, &event));
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openCLSafeCall(clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_START,
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sizeof(cl_ulong), &start_time, 0));
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openCLSafeCall(clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_END,
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sizeof(cl_ulong), &end_time, 0));
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openCLSafeCall(clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_QUEUED,
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sizeof(cl_ulong), &queue_time, 0));
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execute_time = (double)(end_time - start_time) / (1000 * 1000);
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total_time = (double)(end_time - queue_time) / (1000 * 1000);
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total_execute_time += execute_time;
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total_kernel_time += total_time;
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clReleaseEvent(event);
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#endif
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clFlush(getClCommandQueue(ctx));
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openCLSafeCall(clReleaseKernel(kernel));
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}
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|
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|
void openCLExecuteKernel_(Context *ctx, const cv::ocl::ProgramEntry* source, string kernelName, size_t globalThreads[3],
|
|
size_t localThreads[3], vector< pair<size_t, const void *> > &args, int channels,
|
|
int depth, const char *build_options)
|
|
{
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|
cl_kernel kernel = openCLGetKernelFromSource(ctx, source, kernelName, channels, depth, build_options);
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|
|
|
openCLExecuteKernel(ctx, kernel, globalThreads, localThreads, args);
|
|
}
|
|
|
|
void openCLExecuteKernel(Context *ctx, const cv::ocl::ProgramEntry* source, string kernelName,
|
|
size_t globalThreads[3], size_t localThreads[3],
|
|
vector< pair<size_t, const void *> > &args, int channels, int depth)
|
|
{
|
|
openCLExecuteKernel(ctx, source, kernelName, globalThreads, localThreads, args,
|
|
channels, depth, NULL);
|
|
}
|
|
void openCLExecuteKernel(Context *ctx, const cv::ocl::ProgramEntry* source, string kernelName,
|
|
size_t globalThreads[3], size_t localThreads[3],
|
|
vector< pair<size_t, const void *> > &args, int channels, int depth, const char *build_options)
|
|
|
|
{
|
|
#ifndef PRINT_KERNEL_RUN_TIME
|
|
openCLExecuteKernel_(ctx, source, kernelName, globalThreads, localThreads, args, channels, depth,
|
|
build_options);
|
|
#else
|
|
string data_type[] = { "uchar", "char", "ushort", "short", "int", "float", "double"};
|
|
cout << endl;
|
|
cout << "Function Name: " << kernelName;
|
|
if(depth >= 0)
|
|
cout << " |data type: " << data_type[depth];
|
|
cout << " |channels: " << channels;
|
|
cout << " |Time Unit: " << "ms" << endl;
|
|
|
|
total_execute_time = 0;
|
|
total_kernel_time = 0;
|
|
cout << "-------------------------------------" << endl;
|
|
|
|
cout << setiosflags(ios::left) << setw(15) << "execute time";
|
|
cout << setiosflags(ios::left) << setw(15) << "launch time";
|
|
cout << setiosflags(ios::left) << setw(15) << "kernel time" << endl;
|
|
int i = 0;
|
|
for(i = 0; i < RUN_TIMES; i++)
|
|
openCLExecuteKernel_(ctx, source, kernelName, globalThreads, localThreads, args, channels, depth,
|
|
build_options);
|
|
|
|
cout << "average kernel execute time: " << total_execute_time / RUN_TIMES << endl; // "ms" << endl;
|
|
cout << "average kernel total time: " << total_kernel_time / RUN_TIMES << endl; // "ms" << endl;
|
|
#endif
|
|
}
|
|
|
|
void openCLExecuteKernelInterop(Context *ctx, const cv::ocl::ProgramSource& source, string kernelName,
|
|
size_t globalThreads[3], size_t localThreads[3],
|
|
vector< pair<size_t, const void *> > &args, int channels, int depth, const char *build_options)
|
|
|
|
{
|
|
//construct kernel name
|
|
//The rule is functionName_Cn_Dn, C represent Channels, D Represent DataType Depth, n represent an integer number
|
|
//for example split_C2_D2, represent the split kernel with channels = 2 and dataType Depth = 2 (Data type is char)
|
|
stringstream idxStr;
|
|
if(channels != -1)
|
|
idxStr << "_C" << channels;
|
|
if(depth != -1)
|
|
idxStr << "_D" << depth;
|
|
kernelName += idxStr.str();
|
|
|
|
std::string name = std::string("custom_") + source.name;
|
|
ProgramEntry program = { name.c_str(), source.programStr, source.programHash };
|
|
cl_kernel kernel = openCLGetKernelFromSource(ctx, &program, kernelName, build_options);
|
|
|
|
CV_Assert(globalThreads != NULL);
|
|
if ( localThreads != NULL)
|
|
{
|
|
globalThreads[0] = roundUp(globalThreads[0], localThreads[0]);
|
|
globalThreads[1] = roundUp(globalThreads[1], localThreads[1]);
|
|
globalThreads[2] = roundUp(globalThreads[2], localThreads[2]);
|
|
|
|
cv::ocl::openCLVerifyKernel(ctx, kernel, localThreads);
|
|
}
|
|
for(size_t i = 0; i < args.size(); i ++)
|
|
openCLSafeCall(clSetKernelArg(kernel, i, args[i].first, args[i].second));
|
|
|
|
openCLSafeCall(clEnqueueNDRangeKernel(getClCommandQueue(ctx), kernel, 3, NULL, globalThreads,
|
|
localThreads, 0, NULL, NULL));
|
|
|
|
clFinish(getClCommandQueue(ctx));
|
|
openCLSafeCall(clReleaseKernel(kernel));
|
|
}
|
|
|
|
cl_mem load_constant(cl_context context, cl_command_queue command_queue, const void *value,
|
|
const size_t size)
|
|
{
|
|
int status;
|
|
cl_mem con_struct;
|
|
|
|
con_struct = clCreateBuffer(context, CL_MEM_READ_ONLY, size, NULL, &status);
|
|
openCLSafeCall(status);
|
|
|
|
openCLSafeCall(clEnqueueWriteBuffer(command_queue, con_struct, 1, 0, size,
|
|
value, 0, 0, 0));
|
|
|
|
return con_struct;
|
|
}
|
|
|
|
}//namespace ocl
|
|
}//namespace cv
|