Visual Studio 2019 在 Windows 10 上构建 Cuda 静态库时出错
Error on building a Cuda static library from Visual Studio 2019 on Windows 10
我正在尝试使用 Visual Studio 2019 构建一个 cuda 静态库。我的最终目标是从 Unreal Engine C++ 脚本 link 这个 .lib 文件。
预期结果是 x64/Release 文件夹中的 .lib 文件，但我在构建时遇到以下错误：
下载Cuda 11.6后，我在VS2019中使用Cuda模板创建了一个项目。我正在按照此 blog 中的步骤操作。我把默认的kernel.cu拆分成了cuda_ue.cu & cuda_ue.h 如下：
cuda_ue.cu
#include "cuda_ue.h"
__global__ void addKernel(int *c, const int *a, const int *b)
{
int i = threadIdx.x;
c[i] = a[i] + b[i];
}
//int main()
//{
// const int arraySize = 5;
// const int a[arraySize] = { 1, 2, 3, 4, 5 };
// const int b[arraySize] = { 10, 20, 30, 40, 50 };
// int c[arraySize] = { 0 };
//
// // Add vectors in parallel.
// cudaError_t cudaStatus = addWithCuda(c, a, b, arraySize);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "addWithCuda failed!");
// return 1;
// }
//
// printf("{1,2,3,4,5} + {10,20,30,40,50} = {%d,%d,%d,%d,%d}\n",
// c[0], c[1], c[2], c[3], c[4]);
//
// // cudaDeviceReset must be called before exiting in order for profiling and
// // tracing tools such as Nsight and Visual Profiler to show complete traces.
// cudaStatus = cudaDeviceReset();
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaDeviceReset failed!");
// return 1;
// }
//
// return 0;
//}
// Helper function for using CUDA to add vectors in parallel.
cudaError_t addWithCuda(int* c, const int* a, const int* b, unsigned int size, std::string* error_message)
{
int* dev_a = 0;
int* dev_b = 0;
int* dev_c = 0;
cudaError_t cuda_status;
// Choose which GPU to run on, change this on a multi-GPU system.
cuda_status = cudaSetDevice(0);
if (cuda_status != cudaSuccess) {
*error_message = "cudaSetDevice failed! Do you have a CUDA-capable GPU installed?";
goto Error;
}
// Allocate GPU buffers for three vectors (two input, one output) .
cuda_status = cudaMalloc((void**)&dev_c, size * sizeof(int));
if (cuda_status != cudaSuccess) {
*error_message = "cudaMalloc failed!";
goto Error;
}
cuda_status = cudaMalloc((void**)&dev_a, size * sizeof(int));
if (cuda_status != cudaSuccess) {
*error_message = "cudaMalloc failed!";
goto Error;
}
cuda_status = cudaMalloc((void**)&dev_b, size * sizeof(int));
if (cuda_status != cudaSuccess) {
*error_message = "cudaMalloc failed!";
goto Error;
}
// Copy input vectors from host memory to GPU buffers.
cuda_status = cudaMemcpy(dev_a, a, size * sizeof(int), cudaMemcpyHostToDevice);
if (cuda_status != cudaSuccess) {
*error_message = "cudaMemcpy failed!";
goto Error;
}
cuda_status = cudaMemcpy(dev_b, b, size * sizeof(int), cudaMemcpyHostToDevice);
if (cuda_status != cudaSuccess) {
*error_message = "cudaMemcpy failed!";
goto Error;
}
// Launch a kernel on the GPU with one thread for each element.
addKernel << <1, size >> > (dev_c, dev_a, dev_b);
// Check for any errors launching the kernel
cuda_status = cudaGetLastError();
if (cuda_status != cudaSuccess) {
*error_message = "addKernel launch failed: " + std::string(cudaGetErrorString(cuda_status));
goto Error;
}
// cudaDeviceSynchronize waits for the kernel to finish, and returns
// any errors encountered during the launch.
cuda_status = cudaDeviceSynchronize();
if (cuda_status != cudaSuccess) {
*error_message = "cudaDeviceSynchronize returned error code " + std::to_string(cuda_status) + " after launching addKernel!";
goto Error;
}
// Copy output vector from GPU buffer to host memory.
cuda_status = cudaMemcpy(c, dev_c, size * sizeof(int), cudaMemcpyDeviceToHost);
if (cuda_status != cudaSuccess) {
*error_message = "cudaMemcpy failed!";
goto Error;
}
Error:
cudaFree(dev_c);
cudaFree(dev_a);
cudaFree(dev_b);
return cuda_status;
}
cuda_ue.h
#include <string>
#include <stdio.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
cudaError_t addWithCuda(int* c, const int* a, const int* b, unsigned int size, std::string* error_message);
根据博客，我将调试更改为发布，并将配置类型更改为“静态库”。我无法从该错误消息中了解任何有关原因的信息。
如何构建配置为 Release 的 cuda 静态库？
我还包括了 VS2019 输出，详细级别为 'Normal':
Build started...
1>------ Build started: Project: cuda_ue_vs, Configuration: Release x64 ------
1>Build started 2/9/2022 5:24:40 AM.
1>Target InitializeBuildStatus:
1> Touching "x64\Release\cuda_ue_vs.tlog\unsuccessfulbuild".
1>Target CudaBuild:
1> Target CudaBuildCore:
1> Compiling CUDA source file cuda_ue.cu...
1>
1> C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio19\Community\VC\Tools\MSVC.29.30133\bin\HostX86\x64" -x cu -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -I"C:\vcpkg\installed\x64-windows\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fd"C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\x64\Release\cuda_ue_vs.pdb" /FS /MD " -o x64\Release\cuda_ue.cu.obj "C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\cuda_ue.cu"
1> nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified
1> C:\Program Files (x86)\Microsoft Visual Studio19\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 11.6.targets(790,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio19\Community\VC\Tools\MSVC.29.30133\bin\HostX86\x64" -x cu -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -I"C:\vcpkg\installed\x64-windows\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fd"C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\x64\Release\cuda_ue_vs.pdb" /FS /MD " -o x64\Release\cuda_ue.cu.obj "C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\cuda_ue.cu"" exited with code 1.
1> Done building target "CudaBuildCore" in project "cuda_ue_vs.vcxproj" -- FAILED.
1>
1> Done building project "cuda_ue_vs.vcxproj" -- FAILED.
1>
1>Build FAILED.
1>
1>C:\Program Files (x86)\Microsoft Visual Studio19\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 11.6.targets(790,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio19\Community\VC\Tools\MSVC.29.30133\bin\HostX86\x64" -x cu -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -I"C:\vcpkg\installed\x64-windows\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fd"C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\x64\Release\cuda_ue_vs.pdb" /FS /MD " -o x64\Release\cuda_ue.cu.obj "C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\cuda_ue.cu"" exited with code 1.
1> 0 Warning(s)
1> 1 Error(s)
1>
1>Time Elapsed 00:00:00.65
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========
自己解决了：
这是一个愚蠢的修复，文件夹名称不应该有 space。好像nvcc 就当成两个文件了。
我正在尝试使用 Visual Studio 2019 构建一个 cuda 静态库。我的最终目标是从 Unreal Engine C++ 脚本 link 这个 .lib 文件。
预期结果是 x64/Release 文件夹中的 .lib 文件，但我在构建时遇到以下错误：
下载Cuda 11.6后，我在VS2019中使用Cuda模板创建了一个项目。我正在按照此 blog 中的步骤操作。我把默认的kernel.cu拆分成了cuda_ue.cu & cuda_ue.h 如下：
cuda_ue.cu
#include "cuda_ue.h"
__global__ void addKernel(int *c, const int *a, const int *b)
{
int i = threadIdx.x;
c[i] = a[i] + b[i];
}
//int main()
//{
// const int arraySize = 5;
// const int a[arraySize] = { 1, 2, 3, 4, 5 };
// const int b[arraySize] = { 10, 20, 30, 40, 50 };
// int c[arraySize] = { 0 };
//
// // Add vectors in parallel.
// cudaError_t cudaStatus = addWithCuda(c, a, b, arraySize);
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "addWithCuda failed!");
// return 1;
// }
//
// printf("{1,2,3,4,5} + {10,20,30,40,50} = {%d,%d,%d,%d,%d}\n",
// c[0], c[1], c[2], c[3], c[4]);
//
// // cudaDeviceReset must be called before exiting in order for profiling and
// // tracing tools such as Nsight and Visual Profiler to show complete traces.
// cudaStatus = cudaDeviceReset();
// if (cudaStatus != cudaSuccess) {
// fprintf(stderr, "cudaDeviceReset failed!");
// return 1;
// }
//
// return 0;
//}
// Helper function for using CUDA to add vectors in parallel.
cudaError_t addWithCuda(int* c, const int* a, const int* b, unsigned int size, std::string* error_message)
{
int* dev_a = 0;
int* dev_b = 0;
int* dev_c = 0;
cudaError_t cuda_status;
// Choose which GPU to run on, change this on a multi-GPU system.
cuda_status = cudaSetDevice(0);
if (cuda_status != cudaSuccess) {
*error_message = "cudaSetDevice failed! Do you have a CUDA-capable GPU installed?";
goto Error;
}
// Allocate GPU buffers for three vectors (two input, one output) .
cuda_status = cudaMalloc((void**)&dev_c, size * sizeof(int));
if (cuda_status != cudaSuccess) {
*error_message = "cudaMalloc failed!";
goto Error;
}
cuda_status = cudaMalloc((void**)&dev_a, size * sizeof(int));
if (cuda_status != cudaSuccess) {
*error_message = "cudaMalloc failed!";
goto Error;
}
cuda_status = cudaMalloc((void**)&dev_b, size * sizeof(int));
if (cuda_status != cudaSuccess) {
*error_message = "cudaMalloc failed!";
goto Error;
}
// Copy input vectors from host memory to GPU buffers.
cuda_status = cudaMemcpy(dev_a, a, size * sizeof(int), cudaMemcpyHostToDevice);
if (cuda_status != cudaSuccess) {
*error_message = "cudaMemcpy failed!";
goto Error;
}
cuda_status = cudaMemcpy(dev_b, b, size * sizeof(int), cudaMemcpyHostToDevice);
if (cuda_status != cudaSuccess) {
*error_message = "cudaMemcpy failed!";
goto Error;
}
// Launch a kernel on the GPU with one thread for each element.
addKernel << <1, size >> > (dev_c, dev_a, dev_b);
// Check for any errors launching the kernel
cuda_status = cudaGetLastError();
if (cuda_status != cudaSuccess) {
*error_message = "addKernel launch failed: " + std::string(cudaGetErrorString(cuda_status));
goto Error;
}
// cudaDeviceSynchronize waits for the kernel to finish, and returns
// any errors encountered during the launch.
cuda_status = cudaDeviceSynchronize();
if (cuda_status != cudaSuccess) {
*error_message = "cudaDeviceSynchronize returned error code " + std::to_string(cuda_status) + " after launching addKernel!";
goto Error;
}
// Copy output vector from GPU buffer to host memory.
cuda_status = cudaMemcpy(c, dev_c, size * sizeof(int), cudaMemcpyDeviceToHost);
if (cuda_status != cudaSuccess) {
*error_message = "cudaMemcpy failed!";
goto Error;
}
Error:
cudaFree(dev_c);
cudaFree(dev_a);
cudaFree(dev_b);
return cuda_status;
}
cuda_ue.h
#include <string>
#include <stdio.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
cudaError_t addWithCuda(int* c, const int* a, const int* b, unsigned int size, std::string* error_message);
根据博客，我将调试更改为发布，并将配置类型更改为“静态库”。我无法从该错误消息中了解任何有关原因的信息。
如何构建配置为 Release 的 cuda 静态库？
我还包括了 VS2019 输出，详细级别为 'Normal':
Build started...
1>------ Build started: Project: cuda_ue_vs, Configuration: Release x64 ------
1>Build started 2/9/2022 5:24:40 AM.
1>Target InitializeBuildStatus:
1> Touching "x64\Release\cuda_ue_vs.tlog\unsuccessfulbuild".
1>Target CudaBuild:
1> Target CudaBuildCore:
1> Compiling CUDA source file cuda_ue.cu...
1>
1> C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio19\Community\VC\Tools\MSVC.29.30133\bin\HostX86\x64" -x cu -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -I"C:\vcpkg\installed\x64-windows\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fd"C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\x64\Release\cuda_ue_vs.pdb" /FS /MD " -o x64\Release\cuda_ue.cu.obj "C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\cuda_ue.cu"
1> nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified
1> C:\Program Files (x86)\Microsoft Visual Studio19\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 11.6.targets(790,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio19\Community\VC\Tools\MSVC.29.30133\bin\HostX86\x64" -x cu -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -I"C:\vcpkg\installed\x64-windows\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fd"C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\x64\Release\cuda_ue_vs.pdb" /FS /MD " -o x64\Release\cuda_ue.cu.obj "C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\cuda_ue.cu"" exited with code 1.
1> Done building target "CudaBuildCore" in project "cuda_ue_vs.vcxproj" -- FAILED.
1>
1> Done building project "cuda_ue_vs.vcxproj" -- FAILED.
1>
1>Build FAILED.
1>
1>C:\Program Files (x86)\Microsoft Visual Studio19\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 11.6.targets(790,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc.exe" -gencode=arch=compute_52,code=\"sm_52,compute_52\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio19\Community\VC\Tools\MSVC.29.30133\bin\HostX86\x64" -x cu -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -I"C:\vcpkg\installed\x64-windows\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fd"C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\x64\Release\cuda_ue_vs.pdb" /FS /MD " -o x64\Release\cuda_ue.cu.obj "C:\Users\htic\Documents\Unreal Projects\cuda_ue_vs\cuda_ue.cu"" exited with code 1.
1> 0 Warning(s)
1> 1 Error(s)
1>
1>Time Elapsed 00:00:00.65
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========
自己解决了： 这是一个愚蠢的修复，文件夹名称不应该有 space。好像nvcc 就当成两个文件了。