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87 lines
2.6 KiB
87 lines
2.6 KiB
// Comes from
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// https://devtalk.nvidia.com/default/topic/1037482/gpu-accelerated-libraries/help-me-help-you-with-modern-cmake-and-cuda-mwe-for-npp/post/5271066/#5271066
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#include <cstdio>
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#include <iostream>
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#include <assert.h>
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#include <cuda_runtime_api.h>
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#include <nppi_filtering_functions.h>
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int nppif_main()
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{
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/**
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* 8-bit unsigned single-channel 1D row convolution.
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*/
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const int simgrows = 32;
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const int simgcols = 32;
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Npp8u *d_pSrc, *d_pDst;
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const int nMaskSize = 3;
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NppiSize oROI;
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oROI.width = simgcols - nMaskSize;
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oROI.height = simgrows;
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const int simgsize = simgrows * simgcols * sizeof(d_pSrc[0]);
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const int dimgsize = oROI.width * oROI.height * sizeof(d_pSrc[0]);
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const int simgpix = simgrows * simgcols;
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const int dimgpix = oROI.width * oROI.height;
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const int nSrcStep = simgcols * sizeof(d_pSrc[0]);
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const int nDstStep = oROI.width * sizeof(d_pDst[0]);
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const int pixval = 1;
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const int nDivisor = 1;
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const Npp32s h_pKernel[nMaskSize] = { pixval, pixval, pixval };
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Npp32s* d_pKernel;
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const Npp32s nAnchor = 2;
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cudaError_t err = cudaMalloc((void**)&d_pSrc, simgsize);
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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err = cudaMalloc((void**)&d_pDst, dimgsize);
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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err = cudaMalloc((void**)&d_pKernel, nMaskSize * sizeof(d_pKernel[0]));
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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// set image to pixval initially
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err = cudaMemset(d_pSrc, pixval, simgsize);
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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err = cudaMemset(d_pDst, 0, dimgsize);
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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err = cudaMemcpy(d_pKernel, h_pKernel, nMaskSize * sizeof(d_pKernel[0]),
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cudaMemcpyHostToDevice);
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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// copy src to dst
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NppStatus ret =
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nppiFilterRow_8u_C1R(d_pSrc, nSrcStep, d_pDst, nDstStep, oROI, d_pKernel,
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nMaskSize, nAnchor, nDivisor);
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assert(ret == NPP_NO_ERROR);
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Npp8u* h_imgres = new Npp8u[dimgpix];
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err = cudaMemcpy(h_imgres, d_pDst, dimgsize, cudaMemcpyDeviceToHost);
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if (err != cudaSuccess) {
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fprintf(stderr, "Cuda error %d\n", __LINE__);
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return 1;
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}
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// test for filtering
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for (int i = 0; i < dimgpix; i++) {
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if (h_imgres[i] != (pixval * pixval * nMaskSize)) {
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fprintf(stderr, "h_imgres at index %d failed to match\n", i);
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return 1;
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}
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}
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return 0;
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}
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