added BufferAllocator
This commit is contained in:
parent
e5188c7e94
commit
988ab79acb
@ -90,6 +90,29 @@ static inline void throw_no_cuda() { CV_Error(cv::Error::StsNotImplemented, "The
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namespace cv { namespace cuda
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{
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class MemoryStack;
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class CV_EXPORTS BufferAllocator : public GpuMat::Allocator
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{
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public:
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explicit BufferAllocator(Stream& stream);
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~BufferAllocator();
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bool allocate(uchar** devPtr, size_t* step, int** refcount, int rows, int cols, size_t elemSize);
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void free(uchar* devPtr, int* refcount);
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private:
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BufferAllocator(const BufferAllocator&);
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BufferAllocator& operator =(const BufferAllocator&);
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MemoryStack* memStack_;
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Stream stream_;
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size_t alignment_;
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};
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CV_EXPORTS void setBufferAllocatorUsage(bool on);
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CV_EXPORTS void allocateMemoryPool(int deviceId, size_t stackSize, int stackCount);
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static inline void checkNppError(int code, const char* file, const int line, const char* func)
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{
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if (code < 0)
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416
modules/core/src/cuda_buffer_pool.cpp
Normal file
416
modules/core/src/cuda_buffer_pool.cpp
Normal file
@ -0,0 +1,416 @@
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/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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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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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::cuda;
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#ifdef HAVE_CUDA
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#include "opencv2/cudev/common.hpp"
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/////////////////////////////////////////////////////////////
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/// MemoryStack
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namespace
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{
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class MemoryPool;
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}
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class cv::cuda::MemoryStack
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{
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public:
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uchar* requestMemory(size_t size);
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void returnMemory(uchar* ptr);
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uchar* datastart;
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uchar* dataend;
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uchar* tip;
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bool isFree;
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MemoryPool* pool;
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#if defined(DEBUG) || defined(_DEBUG)
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std::vector<size_t> allocations;
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#endif
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};
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uchar* cv::cuda::MemoryStack::requestMemory(size_t size)
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{
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const size_t freeMem = dataend - tip;
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if (size > freeMem)
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return 0;
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uchar* ptr = tip;
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tip += size;
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#if defined(DEBUG) || defined(_DEBUG)
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allocations.push_back(size);
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#endif
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return ptr;
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}
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void cv::cuda::MemoryStack::returnMemory(uchar* ptr)
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{
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CV_DbgAssert( ptr >= datastart && ptr < dataend );
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#if defined(DEBUG) || defined(_DEBUG)
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const size_t allocSize = tip - ptr;
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CV_Assert( allocSize == allocations.back() );
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allocations.pop_back();
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#endif
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tip = ptr;
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}
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/////////////////////////////////////////////////////////////
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/// MemoryPool
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namespace
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{
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class MemoryPool
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{
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public:
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MemoryPool();
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void initialize(size_t stackSize, int stackCount);
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void release();
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MemoryStack* getFreeMemStack();
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void returnMemStack(MemoryStack* memStack);
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private:
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void initilizeImpl();
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Mutex mtx_;
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bool initialized_;
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size_t stackSize_;
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int stackCount_;
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uchar* mem_;
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std::vector<MemoryStack> stacks_;
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};
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MemoryPool::MemoryPool() : initialized_(false), mem_(0)
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{
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// default : 10 Mb, 5 stacks
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stackSize_ = 10 * 1024 * 1024;
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stackCount_ = 5;
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}
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void MemoryPool::initialize(size_t stackSize, int stackCount)
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{
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AutoLock lock(mtx_);
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release();
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stackSize_ = stackSize;
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stackCount_ = stackCount;
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initilizeImpl();
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}
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void MemoryPool::initilizeImpl()
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{
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const size_t totalSize = stackSize_ * stackCount_;
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if (totalSize > 0)
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{
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cudaError_t err = cudaMalloc(&mem_, totalSize);
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if (err != cudaSuccess)
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return;
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stacks_.resize(stackCount_);
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uchar* ptr = mem_;
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for (int i = 0; i < stackCount_; ++i)
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{
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stacks_[i].datastart = ptr;
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stacks_[i].dataend = ptr + stackSize_;
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stacks_[i].tip = ptr;
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stacks_[i].isFree = true;
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stacks_[i].pool = this;
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ptr += stackSize_;
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}
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initialized_ = true;
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}
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}
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void MemoryPool::release()
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{
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if (mem_)
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{
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#if defined(DEBUG) || defined(_DEBUG)
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for (int i = 0; i < stackCount_; ++i)
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{
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CV_DbgAssert( stacks_[i].isFree );
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CV_DbgAssert( stacks_[i].tip == stacks_[i].datastart );
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}
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#endif
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cudaFree( mem_ );
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mem_ = 0;
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initialized_ = false;
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}
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}
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MemoryStack* MemoryPool::getFreeMemStack()
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{
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AutoLock lock(mtx_);
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if (!initialized_)
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initilizeImpl();
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if (!mem_)
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return 0;
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for (int i = 0; i < stackCount_; ++i)
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{
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if (stacks_[i].isFree)
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{
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stacks_[i].isFree = false;
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return &stacks_[i];
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}
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}
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return 0;
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}
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void MemoryPool::returnMemStack(MemoryStack* memStack)
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{
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AutoLock lock(mtx_);
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CV_DbgAssert( !memStack->isFree );
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#if defined(DEBUG) || defined(_DEBUG)
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bool found = false;
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for (int i = 0; i < stackCount_; ++i)
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{
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if (memStack == &stacks_[i])
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{
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found = true;
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break;
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}
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}
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CV_DbgAssert( found );
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#endif
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CV_DbgAssert( memStack->tip == memStack->datastart );
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memStack->isFree = true;
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}
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}
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/////////////////////////////////////////////////////////////
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/// MemoryPoolManager
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namespace
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{
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class MemoryPoolManager
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{
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public:
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MemoryPoolManager();
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~MemoryPoolManager();
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MemoryPool* getPool(int deviceId);
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private:
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std::vector<MemoryPool> pools_;
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};
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MemoryPoolManager::MemoryPoolManager()
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{
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int deviceCount = getCudaEnabledDeviceCount();
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if (deviceCount > 0)
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pools_.resize(deviceCount);
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}
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MemoryPoolManager::~MemoryPoolManager()
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{
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for (size_t i = 0; i < pools_.size(); ++i)
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{
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cudaSetDevice(i);
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pools_[i].release();
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}
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}
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MemoryPool* MemoryPoolManager::getPool(int deviceId)
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{
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CV_DbgAssert( deviceId >= 0 && deviceId < static_cast<int>(pools_.size()) );
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return &pools_[deviceId];
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}
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MemoryPool* memPool(int deviceId)
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{
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static MemoryPoolManager manager;
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return manager.getPool(deviceId);
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}
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}
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/////////////////////////////////////////////////////////////
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/// BufferAllocator
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namespace
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{
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bool enableMemoryPool = true;
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}
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cv::cuda::BufferAllocator::BufferAllocator(Stream& stream) : memStack_(0), stream_(stream)
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{
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if (enableMemoryPool)
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{
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const int deviceId = getDevice();
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memStack_ = memPool(deviceId)->getFreeMemStack();
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DeviceInfo devInfo(deviceId);
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alignment_ = devInfo.textureAlignment();
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}
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}
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namespace
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{
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void CUDART_CB returnMemStackCallback(cudaStream_t, cudaError_t, void* userData)
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{
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MemoryStack* memStack = static_cast<MemoryStack*>(userData);
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memStack->pool->returnMemStack(memStack);
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}
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}
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cv::cuda::BufferAllocator::~BufferAllocator()
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{
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if (memStack_ != 0)
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CV_CUDEV_SAFE_CALL( cudaStreamAddCallback(StreamAccessor::getStream(stream_), returnMemStackCallback, memStack_, 0) );
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}
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namespace
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{
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size_t alignUp(size_t what, size_t alignment)
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{
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size_t alignMask = alignment-1;
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size_t inverseAlignMask = ~alignMask;
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size_t res = (what + alignMask) & inverseAlignMask;
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return res;
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}
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}
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bool cv::cuda::BufferAllocator::allocate(uchar** devPtr, size_t* step, int** refcount, int rows, int cols, size_t elemSize)
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{
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if (memStack_ == 0)
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return false;
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size_t pitch, memSize;
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if (rows > 1 && cols > 1)
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{
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pitch = alignUp(cols * elemSize, alignment_);
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memSize = pitch * rows;
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}
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else
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{
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// Single row or single column must be continuous
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pitch = elemSize * cols;
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memSize = alignUp(elemSize * cols * rows, 64);
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}
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uchar* ptr = memStack_->requestMemory(memSize);
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if (ptr == 0)
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return false;
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*devPtr = ptr;
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*step = pitch;
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*refcount = static_cast<int*>(fastMalloc(sizeof(int)));
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return true;
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}
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void cv::cuda::BufferAllocator::free(uchar* devPtr, int* refcount)
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{
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if (memStack_ == 0)
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return;
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memStack_->returnMemory(devPtr);
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fastFree(refcount);
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}
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void cv::cuda::setBufferAllocatorUsage(bool on)
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{
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enableMemoryPool = on;
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}
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void cv::cuda::allocateMemoryPool(int deviceId, size_t stackSize, int stackCount)
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{
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const int currentDevice = getDevice();
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if (deviceId >= 0)
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{
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setDevice(deviceId);
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memPool(deviceId)->initialize(stackSize, stackCount);
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}
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else
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{
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const int deviceCount = getCudaEnabledDeviceCount();
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for (deviceId = 0; deviceId < deviceCount; ++deviceId)
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{
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setDevice(deviceId);
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memPool(deviceId)->initialize(stackSize, stackCount);
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}
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}
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setDevice(currentDevice);
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}
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#endif
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@ -197,7 +197,7 @@ cv::cuda::Stream::operator bool_type() const
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////////////////////////////////////////////////////////////////
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// Stream
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// Event
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#ifndef HAVE_CUDA
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114
modules/cuda/perf/perf_buffer_pool.cpp
Normal file
114
modules/cuda/perf/perf_buffer_pool.cpp
Normal file
@ -0,0 +1,114 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
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#include "perf_precomp.hpp"
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#ifdef HAVE_CUDA
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#include "opencv2/cudaarithm.hpp"
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#include "opencv2/core/private.cuda.hpp"
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using namespace testing;
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using namespace perf;
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using namespace cv;
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using namespace cv::cuda;
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namespace
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{
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void func1(const GpuMat& src, GpuMat& dst, Stream& stream)
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{
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BufferAllocator bufAlloc(stream);
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GpuMat buf(&bufAlloc);
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src.convertTo(buf, CV_32F, 1.0 / 255.0, stream);
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cuda::exp(buf, dst, stream);
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}
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void func2(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
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{
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BufferAllocator bufAlloc(stream);
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GpuMat buf1(&bufAlloc);
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func1(src1, buf1, stream);
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GpuMat buf2(&bufAlloc);
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func1(src2, buf2, stream);
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cuda::add(buf1, buf2, dst, noArray(), -1, stream);
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}
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}
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PERF_TEST_P(Sz, BufferPool, CUDA_TYPICAL_MAT_SIZES)
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{
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static bool first = true;
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const Size size = GetParam();
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const bool useBufferPool = PERF_RUN_CUDA();
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Mat host_src(size, CV_8UC1);
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declare.in(host_src, WARMUP_RNG);
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GpuMat src1(host_src), src2(host_src);
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GpuMat dst;
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setBufferAllocatorUsage(useBufferPool);
|
||||
if (useBufferPool && first)
|
||||
{
|
||||
allocateMemoryPool(-1, 25 * 1024 * 1024, 2);
|
||||
first = false;
|
||||
}
|
||||
|
||||
TEST_CYCLE()
|
||||
{
|
||||
func2(src1, src2, dst, Stream::Null());
|
||||
}
|
||||
|
||||
Mat h_dst(dst);
|
||||
SANITY_CHECK(h_dst);
|
||||
}
|
||||
|
||||
#endif
|
120
modules/cuda/test/test_buffer_pool.cpp
Normal file
120
modules/cuda/test/test_buffer_pool.cpp
Normal file
@ -0,0 +1,120 @@
|
||||
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||||
//
|
||||
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||||
//
|
||||
// By downloading, copying, installing or using the software you agree to this license.
|
||||
// If you do not agree to this license, do not download, install,
|
||||
// copy or use the software.
|
||||
//
|
||||
//
|
||||
// License Agreement
|
||||
// For Open Source Computer Vision Library
|
||||
//
|
||||
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
||||
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
|
||||
// Redistribution and use in source and binary forms, with or without modification,
|
||||
// are permitted provided that the following conditions are met:
|
||||
//
|
||||
// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
|
||||
//
|
||||
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||||
// this list of conditions and the following disclaimer in the documentation
|
||||
// and/or other materials provided with the distribution.
|
||||
//
|
||||
// * The name of the copyright holders may not be used to endorse or promote products
|
||||
// derived from this software without specific prior written permission.
|
||||
//
|
||||
// This software is provided by the copyright holders and contributors "as is" and
|
||||
// any express or implied warranties, including, but not limited to, the implied
|
||||
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||||
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
|
||||
// (including, but not limited to, procurement of substitute goods or services;
|
||||
// loss of use, data, or profits; or business interruption) however caused
|
||||
// and on any theory of liability, whether in contract, strict liability,
|
||||
// or tort (including negligence or otherwise) arising in any way out of
|
||||
// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
||||
//M*/
|
||||
|
||||
#include "test_precomp.hpp"
|
||||
|
||||
#ifdef HAVE_CUDA
|
||||
|
||||
#include "opencv2/cudaarithm.hpp"
|
||||
#include "opencv2/cudawarping.hpp"
|
||||
#include "opencv2/core/private.cuda.hpp"
|
||||
|
||||
using namespace testing;
|
||||
using namespace cv;
|
||||
using namespace cv::cuda;
|
||||
|
||||
struct BufferPool : TestWithParam<DeviceInfo>
|
||||
{
|
||||
};
|
||||
|
||||
namespace
|
||||
{
|
||||
void func1(const GpuMat& src, GpuMat& dst, Stream& stream)
|
||||
{
|
||||
BufferAllocator bufAlloc(stream);
|
||||
|
||||
GpuMat buf(&bufAlloc);
|
||||
|
||||
src.convertTo(buf, CV_32F, 1.0 / 255.0, stream);
|
||||
|
||||
cuda::exp(buf, dst, stream);
|
||||
}
|
||||
|
||||
void func2(const GpuMat& src, GpuMat& dst, Stream& stream)
|
||||
{
|
||||
BufferAllocator bufAlloc(stream);
|
||||
|
||||
GpuMat buf1(&bufAlloc);
|
||||
|
||||
cuda::resize(src, buf1, Size(), 0.5, 0.5, cv::INTER_NEAREST, stream);
|
||||
|
||||
GpuMat buf2(&bufAlloc);
|
||||
|
||||
func1(buf1, buf2, stream);
|
||||
|
||||
GpuMat buf3(&bufAlloc);
|
||||
|
||||
cuda::resize(buf2, buf3, src.size(), 0, 0, cv::INTER_NEAREST, stream);
|
||||
|
||||
buf3.convertTo(dst, CV_8U, stream);
|
||||
}
|
||||
}
|
||||
|
||||
CUDA_TEST_P(BufferPool, Test)
|
||||
{
|
||||
DeviceInfo devInfo = GetParam();
|
||||
setDevice(devInfo.deviceID());
|
||||
|
||||
GpuMat src(200, 200, CV_8UC1);
|
||||
GpuMat dst;
|
||||
|
||||
Stream stream;
|
||||
|
||||
func2(src, dst, stream);
|
||||
|
||||
stream.waitForCompletion();
|
||||
|
||||
GpuMat buf, buf1, buf2, buf3;
|
||||
GpuMat dst_gold;
|
||||
|
||||
cuda::resize(src, buf1, Size(), 0.5, 0.5, cv::INTER_NEAREST);
|
||||
buf1.convertTo(buf, CV_32F, 1.0 / 255.0);
|
||||
cuda::exp(buf, buf2);
|
||||
cuda::resize(buf2, buf3, src.size(), 0, 0, cv::INTER_NEAREST);
|
||||
buf3.convertTo(dst_gold, CV_8U);
|
||||
|
||||
ASSERT_MAT_NEAR(dst_gold, dst, 0);
|
||||
}
|
||||
|
||||
INSTANTIATE_TEST_CASE_P(CUDA_Stream, BufferPool, ALL_DEVICES);
|
||||
|
||||
#endif // HAVE_CUDA
|
Loading…
x
Reference in New Issue
Block a user