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https://github.com/NVIDIA/cuda-samples.git
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102 lines
3.9 KiB
C++
102 lines
3.9 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifndef CUDANVSCI_H
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#define CUDANVSCI_H
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#include <cuda_runtime.h>
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#include <helper_cuda.h>
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#include <nvscibuf.h>
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#include <nvscisync.h>
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#include <vector>
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#define checkNvSciErrors(call) \
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do { \
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NvSciError _status = call; \
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if (NvSciError_Success != _status) { \
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printf( \
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"NVSCI call in file '%s' in line %i returned" \
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" %d, expected %d\n", \
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__FILE__, __LINE__, _status, NvSciError_Success); \
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fflush(stdout); \
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exit(EXIT_FAILURE); \
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} \
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} while (0)
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extern void rotateKernel(cudaTextureObject_t &texObj, const float angle,
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unsigned int *d_outputData, const int imageWidth,
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const int imageHeight, cudaStream_t stream);
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extern void launchGrayScaleKernel(unsigned int *d_rgbaImage,
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std::string image_filename, size_t imageWidth,
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size_t imageHeight, cudaStream_t stream);
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class cudaNvSci {
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private:
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int m_isMultiGPU;
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int m_cudaNvSciSignalDeviceId;
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int m_cudaNvSciWaitDeviceId;
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unsigned char *image_data;
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size_t m_bufSize;
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size_t imageWidth;
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size_t imageHeight;
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public:
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NvSciSyncModule syncModule;
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NvSciBufModule buffModule;
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NvSciSyncAttrList syncUnreconciledList[2];
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NvSciSyncAttrList syncReconciledList;
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NvSciSyncAttrList syncConflictList;
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NvSciBufAttrList rawBufUnreconciledList[2];
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NvSciBufAttrList imageBufUnreconciledList[2];
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NvSciBufAttrList rawBufReconciledList;
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NvSciBufAttrList buffConflictList;
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NvSciBufAttrList imageBufReconciledList;
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NvSciBufAttrList imageBufConflictList;
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NvSciBufAttrList buffAttrListOut;
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NvSciSyncObj syncObj;
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NvSciBufObj rawBufObj;
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NvSciBufObj imageBufObj;
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NvSciSyncFence *fence;
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cudaNvSci(int isMultiGPU, std::vector<int> &deviceIds,
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unsigned char *image_data, size_t imageWidth, size_t imageHeight);
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void initNvSci();
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void runCudaNvSci(std::string &image_filename);
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void createNvSciRawBufObj();
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void createNvSciSyncObj();
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void createNvSciBufImageObj();
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};
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#endif // CUDANVSCI_H
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