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authorBrad King <brad.king@kitware.com>2018-04-04 15:12:13 (GMT)
committerKitware Robot <kwrobot@kitware.com>2018-04-04 15:12:52 (GMT)
commit640bc9def4fae15cde11674e1220fd0cc6320bbd (patch)
treea58991fd496137e9816b9bac34b65a17572240b8 /Tests
parent124472e9fc66446224b306406b96ab2aaf9bcc3f (diff)
parent41eab150a8ef42bbebff18ff84652e9da1ef4e75 (diff)
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Merge topic 'cuda_support_system_libraries_with_device_symbols'
41eab150a8 CUDA: Pass more link libraries to device linking 88c7abb740 CUDA: Pass host linker directories to device linker Acked-by: Kitware Robot <kwrobot@kitware.com> Merge-request: !1634
Diffstat (limited to 'Tests')
-rw-r--r--Tests/CudaOnly/CMakeLists.txt1
-rw-r--r--Tests/CudaOnly/LinkSystemDeviceLibraries/CMakeLists.txt15
-rw-r--r--Tests/CudaOnly/LinkSystemDeviceLibraries/main.cu77
3 files changed, 93 insertions, 0 deletions
diff --git a/Tests/CudaOnly/CMakeLists.txt b/Tests/CudaOnly/CMakeLists.txt
index 5ad6e6b..565baca 100644
--- a/Tests/CudaOnly/CMakeLists.txt
+++ b/Tests/CudaOnly/CMakeLists.txt
@@ -2,6 +2,7 @@
ADD_TEST_MACRO(CudaOnly.EnableStandard CudaOnlyEnableStandard)
ADD_TEST_MACRO(CudaOnly.ExportPTX CudaOnlyExportPTX)
ADD_TEST_MACRO(CudaOnly.GPUDebugFlag CudaOnlyGPUDebugFlag)
+ADD_TEST_MACRO(CudaOnly.LinkSystemDeviceLibraries CudaOnlyLinkSystemDeviceLibraries)
ADD_TEST_MACRO(CudaOnly.ResolveDeviceSymbols CudaOnlyResolveDeviceSymbols)
ADD_TEST_MACRO(CudaOnly.SeparateCompilation CudaOnlySeparateCompilation)
ADD_TEST_MACRO(CudaOnly.WithDefs CudaOnlyWithDefs)
diff --git a/Tests/CudaOnly/LinkSystemDeviceLibraries/CMakeLists.txt b/Tests/CudaOnly/LinkSystemDeviceLibraries/CMakeLists.txt
new file mode 100644
index 0000000..62be1e6
--- /dev/null
+++ b/Tests/CudaOnly/LinkSystemDeviceLibraries/CMakeLists.txt
@@ -0,0 +1,15 @@
+cmake_minimum_required(VERSION 3.8)
+project(CudaOnlyLinkSystemDeviceLibraries CUDA)
+
+string(APPEND CMAKE_CUDA_FLAGS " -gencode arch=compute_35,code=compute_35 -gencode arch=compute_35,code=sm_35")
+set(CMAKE_CUDA_STANDARD 11)
+
+add_executable(CudaOnlyLinkSystemDeviceLibraries main.cu)
+set_target_properties( CudaOnlyLinkSystemDeviceLibraries
+ PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
+target_link_libraries( CudaOnlyLinkSystemDeviceLibraries PRIVATE cublas_device)
+
+if(APPLE)
+ # Help the static cuda runtime find the driver (libcuda.dyllib) at runtime.
+ set_property(TARGET CudaOnlyLinkSystemDeviceLibraries PROPERTY BUILD_RPATH ${CMAKE_CUDA_IMPLICIT_LINK_DIRECTORIES})
+endif()
diff --git a/Tests/CudaOnly/LinkSystemDeviceLibraries/main.cu b/Tests/CudaOnly/LinkSystemDeviceLibraries/main.cu
new file mode 100644
index 0000000..7eecec1
--- /dev/null
+++ b/Tests/CudaOnly/LinkSystemDeviceLibraries/main.cu
@@ -0,0 +1,77 @@
+
+#include <cublas_v2.h>
+#include <cuda_runtime.h>
+#include <iostream>
+
+__global__ void deviceCublasSgemm(int n, float alpha, float beta,
+ const float* d_A, const float* d_B,
+ float* d_C)
+{
+ cublasHandle_t cnpHandle;
+ cublasStatus_t status = cublasCreate(&cnpHandle);
+
+ if (status != CUBLAS_STATUS_SUCCESS) {
+ return;
+ }
+
+ // Call function defined in the cublas_device system static library.
+ // This way we can verify that we properly pass system libraries to the
+ // device link line
+ status = cublasSgemm(cnpHandle, CUBLAS_OP_N, CUBLAS_OP_N, n, n, n, &alpha,
+ d_A, n, d_B, n, &beta, d_C, n);
+
+ cublasDestroy(cnpHandle);
+}
+
+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 || (prop.major == 3 && prop.minor >= 5)) {
+ 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 >=3.5"
+ << std::endl;
+ return 1;
+}
+
+int main(int argc, char** argv)
+{
+ int ret = choose_cuda_device();
+ if (ret) {
+ return 0;
+ }
+
+ // initial values that will make sure that the cublasSgemm won't actually
+ // do any work
+ int n = 0;
+ float alpha = 1;
+ float beta = 1;
+ float* d_A = nullptr;
+ float* d_B = nullptr;
+ float* d_C = nullptr;
+ deviceCublasSgemm<<<1, 1>>>(n, alpha, beta, d_A, d_B, d_C);
+
+ return 0;
+}