所以我已经在我的 Linux 上成功地开发了我的 CUDA 程序,但我也想支持 Windows 平台。但是,我一直在努力正确编译它。我用 : 视窗10 Cmake 3.15 视觉工作室 2017 CUDA 工具包 10.1 当使用旧的已弃用的 Cmake CUDA 支持使用 find_package(CUDA 10.1 REQUIRED) 时,它会在使用工具包时正确报告工具包的正确路径。
在编辑环境变量对话框中,点击"新建",然后添加CUDA库所在的路径(例如:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\bin)。 点击"确定"保存修改。 CMakeLists.txt文件配置错误:确保在项目的CMakeLists.txt文件中正确配置了CUDA相关的选项。以下是一个示例配置:find_package(CUDA REQUIRED) include_directo...
(TorchVision_DIR path\\Version\\build\\share\\cmake\\TorchVision) #指定编译后的torchvision的cmke路径 find_package(TorchVision REQUIRED) # needed by export-method=tracing/scripting add_executable(torchscript_mask_rcnn torchscript_mask_rcnn.cpp) target_link_libraries( torchscript_mask_rcnn PUBLIC ...
1. 找到文件 C:\dev\libtorch\share\cmake\Caffe2\public\cuda.cmake,做如下修改: 在第59 行 find_package(CUDAToolkit REQUIRED) 之后添加两行内容: add_library(CUDA::nvToolsExt INTERFACE IMPORTED) set_property(TARGET CUDA::nvToolsExt APPEND PROPERTY INTERFACE_INCLUDE_DIRECTORIES "${CUDAToolkit_INCLUDE_...
cmake_minimum_required(VERSION3.10) project(yolov11) add_definitions(-std=c++11) add_definitions(-DAPI_EXPORTS)set(CMAKE_CXX_STANDARD11)set(CMAKE_BUILD_TYPE Debug)set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc) enable_language(CUDA) ...
<PackageName>.exe -s CUDAToolkit_7.0 Display.Driver 1. Subpackage Details Display Driver Required to run CUDA applications. CUDA ToolkitThe CUDA Toolkit installation defaults to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0. This directory contains the following: Bin\ the compiler executa...
<PackageName>.exe -s CUDAToolkit_7.0 Display.Driver Subpackage Details Display Driver Required to run CUDA applications. CUDA Toolkit The CUDA Toolkit installation defaults toC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0. This directory contains the following: Bin\ the compiler executables...
Installs theCUDA_Occupancy_Calculator.xlstool. Driver Subpackages Display.Driver The NVIDIA Display Driver. Required to run CUDA applications. For example, to install only the compiler and driver components: <PackageName>.exe -s nvcc_12.1 Display.Driver ...
1. cmake_minimum_required(VERSION 3.0 FATAL_ERROR) 2. project(test) 3. 4. find_package(Torch REQUIRED) 5. 6. add_executable(test test.cpp) 7. target_link_libraries(test "${TORCH_LIBRARIES}") 8. set_property(TARGET test PROPERTY CXX_STANDARD 14) ...
Required to run CUDA applications. For example, to install only the compiler and driver components: .exe -s nvcc_11.6 Display.Driver Extracting and Inspecting the Files Manually Sometimes it may be desirable to extract or inspect the installable files directly, such as in enterprise deployment, ...