CUDA: Add abstraction for cuda runtime selection

Fixes #17559
Replace our hard-coded default of cudart=static with a first-class abstraction to select the runtime library from an enumeration of logical names.

1 files changed, 81 insertions, 0 deletions

diff --git a/Tests/CudaOnly/RuntimeControls/main.cu b/Tests/CudaOnly/RuntimeControls/main.cu
new file mode 100644
index 0000000..0be22af
--- /dev/null
+++ b/Tests/CudaOnly/RuntimeControls/main.cu
@@ -0,0 +1,81 @@
+
+#include <iostream>
+
+#include "cuda.h"
+
+#ifdef _WIN32
+#  define IMPORT __declspec(dllimport)
+#else
+#  define IMPORT
+#endif
+
+#ifndef _WIN32
+IMPORT int file1_launch_kernel(int x);
+#endif
+
+IMPORT int file2_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;
+    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;
+  }
+
+  cudaError_t err;
+#ifndef _WIN32
+  file1_launch_kernel(1);
+  err = cudaGetLastError();
+  if (err != cudaSuccess) {
+    std::cerr << "file1_launch_kernel: kernel launch should have passed.\n "
+                 "Error message: "
+              << cudaGetErrorString(err) << std::endl;
+    return 1;
+  }
+#endif
+
+  file2_launch_kernel(1);
+  err = cudaGetLastError();
+  if (err != cudaSuccess) {
+    std::cerr << "file2_launch_kernel: kernel launch should have passed.\n "
+                 "Error message: "
+              << cudaGetErrorString(err) << std::endl;
+    return 1;
+  }
+
+  return 0;
+}