CMake生成一个MSVC CUDA项目，目标较新的设备 [英] CMake to generate a MSVC CUDA project that targets newer devices

问题描述

我的电脑有一个GTX 580（计算能力2.0）。

我想编译一个使用动态并行性的CUDA源码，

我知道我不能在GPU上运行程序，但是，应该可以在我的机器上编译这个代码。我假设这是因为我可以编译没有问题使用3.5功能的CUDA示例。这些示例带有手动生成的Visual Studio项目（我猜）。

我相信我的问题是与CMake。我使用CMake生成Visual Studio 2012项目。

我的第一个CMakeLists.txt看起来像这样：

  PROJECT（sample-cuda-tests）
 
 FIND_PACKAGE（需要CUDA）
 
 INCLUDE_DIRECTORIES（$ {CUDA_INCLUDE_DIRS}）
 INCLUDE_DIRECTORIES（$ {CMAKE_CURRENT_SOURCE_DIR} / include）
 
 FILE（GLOB_RECURSE包括$ {CMAKE_CURRENT_SOURCE_DIR} / include / *。h）
 FILE（GLOB_RECURSE sources $ {CMAKE_CURRENT_SOURCE_DIR} / src / *。 cc $ {CMAKE_CURRENT_SOURCE_DIR} / src / *。cu）
 
 CUDA_ADD_EXECUTABLE（sample-cuda-tests $ {includes} $ {sources}）
 TARGET_LINK_LIBRARIES（sample-cuda-tests $ {CUDA_LIBRARIES }）
  

然后，当使用生成的Visual Studio 2012项目进行编译时，错误：

警告：compute_10和sm_10体系结构已弃用，可能会在将来的版本中删除。

错误：从__global__函数调用__global__函数只允许在compute_35体系结构或以上

需要什么。然后我添加了

列表（APPEND CUDA_NVCC_FLAGS -gencode arch = compute_35，code = sm_35）

给CMakeLists。警告消失，但我得到：

错误：内核从__device__或__global__函数启动需要单独的编译模式

好的。所以我添加到CMakeLists：

set（CUDA_SEPARABLE_COMPILATION ON）

...并收到此：

致命错误：nvcc支持'--relocatable-device-code = true只有当定位到sm_20或更高版本时，才会显示rdc = true，'--device-c（-dc）'和'--device-link（-dlink）'

很奇怪，因为我认为我的目标是sm_35（高于sm_20）。

后来我发现我可以直接在CUDA_ADD_EXECUTABLE命令。所以我删除了附加值到CUDA_NVCC_FLAGS的行，并将CUDA_ADD_EXECUTABLE命令更改为：

  CUDA_ADD_EXECUTABLE（sample-cuda-tests $ { include} $ {sources}选项-gencode arch = compute_35，code = sm_35）
  

：

C：\Program Files \ NVIDIA GPU计算工具包\CUDA\v6.0\bin\crt\ link.stub：致命错误C1083：无法打开编译器生成的文件：'C：/Users/sms/Desktop/sample-cuda-tests/CMakeFiles/sample-cuda-tests.dir/Debug/sample-cuda-tests_intermediate_link.obj' ：没有这样的文件或目录

不知道现在去哪里。

解决方案

我在Windows 7上使用CUDA SDK 6.0。

当设置CUDA_SEPARABLE_COMPILATION为ON时，如果.cu文件不在CMakeLists的同一文件夹中。 txt，中间链接对象生成在错误的文件夹中，导致编译错误，在Visual Studio中，如下所示：

无法打开编译器生成的文件：'project_path / CMakeFiles / project_name / Debug / project_name_intermediate_link.obj'：没有这样的文件或目录。

CMake错误追踪程式中的问题：
http://public.kitware.com /Bug/view.php?id=15016
（错误最好在这里描述）

My PC has a GTX 580 (compute capability 2.0).

I want to compile a CUDA source that uses dynamic parallelism, a feature introduced in compute capability 3.5.

I know I will not be able to run the program on my GPU, however, it should be possible to compile this code on my machine. I'm assuming this because I can compile with no problems the CUDA samples that use 3.5 capability. These samples come with Visual Studio projects that were "manually generated" (I guess).

I believe my problem is with CMake. I'm using CMake to generate a Visual Studio 2012 project.

My first CMakeLists.txt looked like this:

PROJECT(sample-cuda-tests)

FIND_PACKAGE(CUDA REQUIRED)

INCLUDE_DIRECTORIES(${CUDA_INCLUDE_DIRS})
INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR}/include)

FILE(GLOB_RECURSE includes ${CMAKE_CURRENT_SOURCE_DIR}/include/*.h )
FILE(GLOB_RECURSE sources ${CMAKE_CURRENT_SOURCE_DIR}/src/*.cc ${CMAKE_CURRENT_SOURCE_DIR}/src/*.cu )

CUDA_ADD_EXECUTABLE(sample-cuda-tests ${includes} ${sources})
TARGET_LINK_LIBRARIES(sample-cuda-tests ${CUDA_LIBRARIES})

Then, when compiling with the generated Visual Studio 2012 project, I got a warning followed by an error:

warning : The 'compute_10' and 'sm_10' architectures are deprecated, and may be removed in a future release.

error : calling a __global__ function from a __global__ function is only allowed on the compute_35 architecture or above

What was expected. Then I added

list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_35,code=sm_35)

to the CMakeLists. The warning disappeared, but I got:

error : kernel launch from __device__ or __global__ functions requires separate compilation mode

Ok. So I added to the CMakeLists:

set(CUDA_SEPARABLE_COMPILATION ON)

...and received this:

fatal error : nvcc supports '--relocatable-device-code=true (-rdc=true)', '--device-c (-dc)', and '--device-link (-dlink)' only when targeting sm_20 or higher

What is weird because I thought I was targeting sm_35 (higher than sm_20).

Later I discovered I can set some options directly in CUDA_ADD_EXECUTABLE command. So I removed the line that was appending values to CUDA_NVCC_FLAGS and changed CUDA_ADD_EXECUTABLE command to:

CUDA_ADD_EXECUTABLE(sample-cuda-tests ${includes} ${sources} OPTIONS -gencode arch=compute_35,code=sm_35)

What I got was:

C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v6.0\bin\crt\link.stub : fatal error C1083: Cannot open compiler generated file: 'C:/Users/sms/Desktop/sample-cuda-tests/CMakeFiles/sample-cuda-tests.dir/Debug/sample-cuda-tests_intermediate_link.obj': No such file or directory

No idea where to go now. Appreciate any help.

I'm using CUDA SDK 6.0 on Windows 7.

解决方案

Turned out to be a bug on FindCUDA.cmake.

When setting CUDA_SEPARABLE_COMPILATION to ON, if .cu files are not in the same folder of CMakeLists.txt, intermediate linkage objects are generated in the wrong folder, causing a compilation error that, on Visual Studio, looks like this:

Cannot open compiler generated file: 'project_path/CMakeFiles/project_name/Debug/project_name_intermediate_link.obj': No such file or directory.

I've opened an issue in CMake bug tracker: http://public.kitware.com/Bug/view.php?id=15016 (the bug is better described there)

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