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-rw-r--r--Tests/CudaOnly/GPUDebugFlag/main.cu71
1 files changed, 71 insertions, 0 deletions
diff --git a/Tests/CudaOnly/GPUDebugFlag/main.cu b/Tests/CudaOnly/GPUDebugFlag/main.cu
new file mode 100644
index 0000000..1f3fc12
--- /dev/null
+++ b/Tests/CudaOnly/GPUDebugFlag/main.cu
@@ -0,0 +1,71 @@
+#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;
+}