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93 lines
2.3 KiB
93 lines
2.3 KiB
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#include <cublas_v2.h>
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#include <cuda_runtime.h>
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#include <iostream>
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#if defined(USE_THREADS_POSIX) && defined(HAVE_PTHREAD_H)
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# include <pthread.h>
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static int verify_linking_to_pthread()
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{
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return static_cast<int>(pthread_self());
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}
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#endif
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// this test only makes sense for versions of CUDA that ships
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// static libraries that have separable compilation device symbols
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#if __CUDACC_VER_MAJOR__ <= 9
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__global__ void deviceCublasSgemm(int n, float alpha, float beta,
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const float* d_A, const float* d_B,
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float* d_C)
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{
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cublasHandle_t cnpHandle;
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cublasStatus_t status = cublasCreate(&cnpHandle);
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if (status != CUBLAS_STATUS_SUCCESS) {
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return;
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}
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// Call function defined in the cublas_device system static library.
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// This way we can verify that we properly pass system libraries to the
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// device link line
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status = cublasSgemm(cnpHandle, CUBLAS_OP_N, CUBLAS_OP_N, n, n, n, &alpha,
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d_A, n, d_B, n, &beta, d_C, n);
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cublasDestroy(cnpHandle);
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}
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#endif
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int choose_cuda_device()
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{
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int nDevices = 0;
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cudaError_t err = cudaGetDeviceCount(&nDevices);
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if (err != cudaSuccess) {
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std::cerr << "Failed to retrieve the number of CUDA enabled devices"
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<< std::endl;
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return 1;
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}
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for (int i = 0; i < nDevices; ++i) {
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cudaDeviceProp prop;
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cudaError_t err = cudaGetDeviceProperties(&prop, i);
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if (err != cudaSuccess) {
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std::cerr << "Could not retrieve properties from CUDA device " << i
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<< std::endl;
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return 1;
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}
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if (prop.major > 3 || (prop.major == 3 && prop.minor >= 5)) {
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err = cudaSetDevice(i);
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if (err != cudaSuccess) {
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std::cout << "Could not select CUDA device " << i << std::endl;
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} else {
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return 0;
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}
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}
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}
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std::cout << "Could not find a CUDA enabled card supporting compute >=3.5"
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<< std::endl;
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return 1;
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}
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int main(int argc, char** argv)
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{
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int ret = choose_cuda_device();
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if (ret) {
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return 0;
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}
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#if __CUDACC_VER_MAJOR__ <= 9
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// initial values that will make sure that the cublasSgemm won't actually
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// do any work
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int n = 0;
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float alpha = 1;
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float beta = 1;
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float* d_A = nullptr;
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float* d_B = nullptr;
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float* d_C = nullptr;
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deviceCublasSgemm<<<1, 1>>>(n, alpha, beta, d_A, d_B, d_C);
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#endif
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return 0;
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}
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