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#include <iostream>
#include "file1.h"
#include "file2.h"
int file2_launch_kernel(int x);
result_type_dynamic __device__ file2_func(int x);
static __global__ void main_kernel(result_type_dynamic& r, int x)
{
// call function that was not device linked to us, this will cause
// a runtime failure of "invalid device function"
r = file2_func(x);
}
int main_launch_kernel(int x)
{
result_type_dynamic r;
main_kernel<<<1, 1>>>(r, x);
return r.sum;
}
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;
}
std::cout << "prop.major: " << prop.major << std::endl;
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)
{
int ret = choose_cuda_device();
if (ret) {
return 0;
}
main_launch_kernel(1);
cudaError_t err = cudaGetLastError();
if (err == cudaSuccess) {
// This kernel launch should fail as the file2_func was device linked
// into the static library and is not usable by the executable
std::cerr << "main_launch_kernel: kernel launch should have failed"
<< std::endl;
return 1;
}
return 0;
}
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