cuda-samples/Samples/cudaNvSci/main.cpp

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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.
*/
#include <cuda.h>
#include <vector>
#include "cudaNvSci.h"
#include <helper_cuda.h>
#include <helper_image.h>
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<int> 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;
}