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author | Robert Maynard <rmaynard@nvidia.com> | 2022-04-22 16:51:26 (GMT) |
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committer | Robert Maynard <rmaynard@nvidia.com> | 2022-07-22 14:34:45 (GMT) |
commit | 96bc59b1ca01be231347404d178445263687dd22 (patch) | |
tree | d9c015f30a1e43f0d5ded6dc75a638471f085ed6 /Tests/Module/CheckIPOSupported-CUDA/main.cu | |
parent | 1527d48cd0071e3e1737b51db3738f7f76ddbf80 (diff) | |
download | CMake-96bc59b1ca01be231347404d178445263687dd22.zip CMake-96bc59b1ca01be231347404d178445263687dd22.tar.gz CMake-96bc59b1ca01be231347404d178445263687dd22.tar.bz2 |
CUDA: Add Device LTO support for nvcc
Fixes #22200
Diffstat (limited to 'Tests/Module/CheckIPOSupported-CUDA/main.cu')
-rw-r--r-- | Tests/Module/CheckIPOSupported-CUDA/main.cu | 62 |
1 files changed, 62 insertions, 0 deletions
diff --git a/Tests/Module/CheckIPOSupported-CUDA/main.cu b/Tests/Module/CheckIPOSupported-CUDA/main.cu new file mode 100644 index 0000000..8ef4873 --- /dev/null +++ b/Tests/Module/CheckIPOSupported-CUDA/main.cu @@ -0,0 +1,62 @@ +#include <iostream> + +#include "cuda.h" + +#ifdef _WIN32 +# define IMPORT __declspec(dllimport) +#else +# define IMPORT +#endif + +IMPORT int launch_kernel(int x); + +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; + 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" << std::endl; + + return 1; +} + +int main() +{ + int ret = choose_cuda_device(); + if (ret) { + return 0; + } + + cudaError_t err; + launch_kernel(1); + err = cudaGetLastError(); + if (err != cudaSuccess) { + std::cerr << "launch_kernel: kernel launch should have passed.\n " + "Error message: " + << cudaGetErrorString(err) << std::endl; + return 1; + } + + return 0; +} |