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https://github.com/NVIDIA/cuda-samples.git
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125 lines
5.0 KiB
C++
125 lines
5.0 KiB
C++
/* Copyright (c) 2024, 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 CUDA_NVSCIBUF_MULTIPLANAR_H
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#define CUDA_NVSCIBUF_MULTIPLANAR_H
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#include <cuda_runtime.h>
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#include <nvscibuf.h>
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#include <vector>
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#include <cuda.h>
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#include <helper_cuda.h>
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#define PLANAR_NUM_PLANES 3
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#define PLANAR_CHROMA_WIDTH_ORDER 2
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#define PLANAR_CHROMA_HEIGHT_ORDER 2
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#define ATTR_SIZE 20
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#define DEFAULT_GPU 0
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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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#define checkCudaDrvErrors(call) \
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do { \
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CUresult err = call; \
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if (CUDA_SUCCESS != err) { \
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const char *errorStr = NULL; \
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cuGetErrorString(err, &errorStr); \
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printf( \
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"checkCudaDrvErrors() Driver API error" \
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" = %04d \"%s\" from file <%s>, " \
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"line %i.\n", \
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err, errorStr, __FILE__, __LINE__); \
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exit(EXIT_FAILURE); \
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} \
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} while (0)
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extern void launchFlipSurfaceBitsKernel(cudaArray_t *levelArray, int32_t *multiPlanarWidth,
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int32_t *multiPlanarHeight, int numPlanes);
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class Caller {
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private:
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NvSciBufAttrList attrListOut;
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NvSciBufAttrKeyValuePair pairArrayOut[ATTR_SIZE];
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cudaExternalMemory_t extMem;
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int32_t numPlanes;
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public:
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NvSciBufAttrList attrList;
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cudaMipmappedArray_t multiPlanarArray[PLANAR_NUM_PLANES];
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int32_t multiPlanarWidth[PLANAR_NUM_PLANES];
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int32_t multiPlanarHeight[PLANAR_NUM_PLANES];
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void init();
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void deinit();
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void copyExtMemToMultiPlanarArrays();
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void copyYUVToCudaArrayAndFlipBits(std::string &image_filename, cudaArray_t *yuvPlanes);
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void copyCudaArrayToYUV(std::string &image_filename, cudaArray_t *yuvPlanes);
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void setAttrListImageMultiPlanes(int imageWidth, int imageHeight);
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};
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class cudaNvSciBufMultiplanar {
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private:
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size_t imageWidth;
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size_t imageHeight;
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int mCudaDeviceId;
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int deviceCnt;
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NvSciBufAttrList attrList[2];
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NvSciBufAttrList attrListReconciled;
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NvSciBufAttrList attrListConflict;
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public:
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cudaNvSciBufMultiplanar(size_t imageWidth, size_t imageHeight, std::vector<int> &deviceIds);
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void initCuda(int devId);
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void reconcileAttrList(NvSciBufAttrList *attrList1, NvSciBufAttrList *attrList2);
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void runCudaNvSciBufPlanar(std::string &image_filename, std::string &image_filename_out);
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void tearDown(Caller *caller1, Caller *caller2);
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};
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enum NvSciBufImageAttributes {
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PLANE_SIZE,
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PLANE_ALIGNED_SIZE,
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PLANE_OFFSET,
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PLANE_HEIGHT,
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PLANE_WIDTH,
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PLANE_CHANNEL_COUNT,
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PLANE_BITS_PER_PIXEL,
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PLANE_COUNT,
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PLANE_ATTR_SIZE
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};
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#endif // CUDA_NVSCIBUF_MULTIPLANAR_H
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