1 files changed, 69 insertions, 0 deletions
diff --git a/Tests/CudaOnly/DontResolveDeviceSymbols/file1.cu b/Tests/CudaOnly/DontResolveDeviceSymbols/file1.cu
new file mode 100644
index 0000000..3924f67
--- /dev/null
+++ b/Tests/CudaOnly/DontResolveDeviceSymbols/file1.cu
@@ -0,0 +1,69 @@
+
+#include <iostream>
+
+static __global__ void file1_kernel(int in, int* out)
+{
+  *out = in * in;
+}
+
+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 file1_launch_kernel()
+{
+  int ret = choose_cuda_device();
+  if (ret) {
+    return 0;
+  }
+
+  int input = 4;
+
+  int* output;
+  cudaError_t err = cudaMallocManaged(&output, sizeof(int));
+  cudaDeviceSynchronize();
+  if (err != cudaSuccess) {
+    return 1;
+  }
+
+  file1_kernel<<<1, 1>>>(input, output);
+  cudaDeviceSynchronize();
+  err = cudaGetLastError();
+  std::cout << err << " " << cudaGetErrorString(err) << std::endl;
+  if (err == cudaSuccess) {
+    // This kernel launch should failed as the device linking never occured
+    std::cerr << "file1_kernel: kernel launch should have failed" << std::endl;
+    return 1;
+  }
+  return 0;
+}