cuda-samples/Samples/cudaNvSci/cudaNvSci.h

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/* Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions 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.
* * Neither the name of NVIDIA CORPORATION nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``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 COPYRIGHT OWNER 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.
*/
#ifndef CUDANVSCI_H
#define CUDANVSCI_H
#include <cuda_runtime.h>
#include <helper_cuda.h>
#include <nvscibuf.h>
#include <nvscisync.h>
#include <vector>
#define checkNvSciErrors(call) \
do { \
NvSciError _status = call; \
if (NvSciError_Success != _status) { \
printf( \
"NVSCI call in file '%s' in line %i returned" \
" %d, expected %d\n", \
__FILE__, __LINE__, _status, NvSciError_Success); \
fflush(stdout); \
exit(EXIT_FAILURE); \
} \
} while (0)
extern void rotateKernel(cudaTextureObject_t &texObj, const float angle,
unsigned int *d_outputData, const int imageWidth,
const int imageHeight, cudaStream_t stream);
extern void launchGrayScaleKernel(unsigned int *d_rgbaImage,
std::string image_filename, size_t imageWidth,
size_t imageHeight, cudaStream_t stream);
class cudaNvSci {
private:
int m_isMultiGPU;
int m_cudaNvSciSignalDeviceId;
int m_cudaNvSciWaitDeviceId;
unsigned char *image_data;
size_t m_bufSize;
size_t imageWidth;
size_t imageHeight;
public:
NvSciSyncModule syncModule;
NvSciBufModule buffModule;
NvSciSyncAttrList syncUnreconciledList[2];
NvSciSyncAttrList syncReconciledList;
NvSciSyncAttrList syncConflictList;
NvSciBufAttrList rawBufUnreconciledList[2];
NvSciBufAttrList imageBufUnreconciledList[2];
NvSciBufAttrList rawBufReconciledList;
NvSciBufAttrList buffConflictList;
NvSciBufAttrList imageBufReconciledList;
NvSciBufAttrList imageBufConflictList;
NvSciBufAttrList buffAttrListOut;
NvSciSyncObj syncObj;
NvSciBufObj rawBufObj;
NvSciBufObj imageBufObj;
NvSciSyncFence *fence;
cudaNvSci(int isMultiGPU, std::vector<int> &deviceIds,
unsigned char *image_data, size_t imageWidth, size_t imageHeight);
void initNvSci();
void runCudaNvSci(std::string &image_filename);
void createNvSciRawBufObj();
void createNvSciSyncObj();
void createNvSciBufImageObj();
};
#endif // CUDANVSCI_H