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#include <cuda.h>
#include <cuda_runtime.h>
#include <iostream>
static __global__ void debug_kernel(bool* has_debug)
{
// Verify using the return code if we have GPU debug flag enabled
#if defined(__CUDACC__) && defined(__CUDACC_DEBUG__)
*has_debug = true;
#else
*has_debug = false;
#endif
}
int choose_cuda_device()
{
int nDevices = 0;
cudaError_t err = cudaGetDeviceCount(&nDevices);
if (err != cudaSuccess) {
std::cerr << "Failed to retrieve the number of CUDA enabled devices"
<< std::endl;
return 1;
}
for (int i = 0; i < nDevices; ++i) {
cudaDeviceProp prop;
cudaError_t err = cudaGetDeviceProperties(&prop, i);
if (err != cudaSuccess) {
std::cerr << "Could not retrieve properties from CUDA device " << i
<< std::endl;
return 1;
}
if (prop.major >= 3) {
err = cudaSetDevice(i);
if (err != cudaSuccess) {
std::cout << "Could not select CUDA device " << i << std::endl;
} else {
return 0;
}
}
}
std::cout << "Could not find a CUDA enabled card supporting compute >=3.0"
<< std::endl;
return 1;
}
int main(int argc, char** argv)
{
bool* has_debug;
cudaError_t err = cudaMallocManaged(&has_debug, sizeof(bool));
if (err != cudaSuccess) {
std::cerr << "cudaMallocManaged failed:\n"
<< " " << cudaGetErrorString(err) << std::endl;
return 1;
}
debug_kernel<<<1, 1>>>(has_debug);
err = cudaDeviceSynchronize();
if (err != cudaSuccess) {
std::cerr << "debug_kernel: kernel launch shouldn't have failed\n"
<< "reason:\t" << cudaGetErrorString(err) << std::endl;
return 1;
}
if (*has_debug == false) {
std::cerr << "debug_kernel: kernel not compiled with device debug"
<< std::endl;
return 1;
}
return 0;
}
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