/* Copyright (c) 2021, 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. */ #include #include #include "cudaNvSci.h" #include #include void loadImageData(const std::string &filename, const char **argv, unsigned char **image_data, uint32_t &imageWidth, uint32_t &imageHeight) { // load image (needed so we can get the width and height before we create // the window char *image_path = sdkFindFilePath(filename.c_str(), argv[0]); if (image_path == 0) { printf("Error finding image file '%s'\n", filename.c_str()); exit(EXIT_FAILURE); } sdkLoadPPM4(image_path, image_data, &imageWidth, &imageHeight); if (!image_data) { printf("Error opening file '%s'\n", image_path); exit(EXIT_FAILURE); } printf("Loaded '%s', %d x %d pixels\n", image_path, imageWidth, imageHeight); } int main(int argc, const char **argv) { int numOfGPUs = 0; std::vector deviceIds; checkCudaErrors(cudaGetDeviceCount(&numOfGPUs)); printf("%d GPUs found\n", numOfGPUs); if (!numOfGPUs) { exit(EXIT_WAIVED); } else { for (int devID = 0; devID < numOfGPUs; devID++) { int major = 0, minor = 0; checkCudaErrors(cudaDeviceGetAttribute( &major, cudaDevAttrComputeCapabilityMajor, devID)); checkCudaErrors(cudaDeviceGetAttribute( &minor, cudaDevAttrComputeCapabilityMinor, devID)); if (major >= 6) { deviceIds.push_back(devID); } } if (deviceIds.size() == 0) { printf( "cudaNvSci requires one or more GPUs of Pascal(SM 6.0) or higher " "archs\nWaiving..\n"); exit(EXIT_WAIVED); } } std::string image_filename = "lenaRGB.ppm"; if (checkCmdLineFlag(argc, (const char **)argv, "file")) { getCmdLineArgumentString(argc, (const char **)argv, "file", (char **)&image_filename); } uint32_t imageWidth = 0; uint32_t imageHeight = 0; unsigned char *image_data = NULL; loadImageData(image_filename, argv, &image_data, imageWidth, imageHeight); cudaNvSci cudaNvSciApp(deviceIds.size() > 1, deviceIds, image_data, imageWidth, imageHeight); cudaNvSciApp.runCudaNvSci(image_filename); return EXIT_SUCCESS; }