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 *  * 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
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 */

#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
