配置Python
直接运行就可以，配置调试模式，生成lacunch文件，直接调试就可以
配置c++
{
"version": "2.0.0",
"tasks": [
{
"type": "cppbuild",
"label": "C/C++: g++.exe 生成活动文件",
"command": "E:\\cpp\\mingw64\\bin\\g++.exe",
"args": [
"-fdiagnostics-color=always",// 颜色
"-g",// 调试信息
"${file}",// 文件本身，仅适用于C++基础知识教学，无法同时编译所有文件
"-Wall", // 开启所有警告
"-std=c++14", // c++14标准
"-o",//输出
//"${fileDirname}\\${fileBasenameNoExtension}.exe"
"${workspaceFolder}/src/${fileBasenameNoExtension}" // 文件所在的文件夹路径/src/当前文件的文件名，不带后缀
],
"options": {
"cwd": "${fileDirname}"
},
"problemMatcher": [
"$gcc"
],
"group": "build",
"detail": "编译器: E:\\cpp\\mingw64\\bin\\g++.exe"
}
]
}配置C++的调试文件，主要修改2个地方
"program": "${workspaceFolder}/src/${fileBasenameNoExtension}",
"preLaunchTask": "C/C++: g++.exe 生成活动文件",
把这个删掉
"pipeTransport": {
"debuggerPath": "E:\\cpp\\mingw64\\bin\\g++.exe",
"pipeProgram": "${env:windir}\\system32\\bash.exe",
"pipeArgs": ["-c"],
"pipeCwd": ""
},"version": "0.2.0",
"configurations": [
{
"name": "g++ 调试",
"type": "cppdbg",
"request": "launch",
"program": "${workspaceFolder}/src/${fileBasenameNoExtension}",
"args": [],
"stopAtEntry": false,
"cwd": "${fileDirname}",
"environment": [],
"externalConsole": false,
"setupCommands": [
{
"description": "为 gdb 启用整齐打印",
"text": "-enable-pretty-printing",
"ignoreFailures": true
},
{
"description": "将反汇编风格设置为 Intel",
"text": "-gdb-set disassembly-flavor intel",
"ignoreFailures": true
}
],
"preLaunchTask": "C/C++: g++.exe 生成活动文件",
},
{
"name": "Python: debge",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal",
"justMyCode": true
}
]
}cmake的使用
需要构建cmake文件，文件名为CMakeLists.txt
重要 的3部分，
# 最低版本要求
cmake_minimum_required(VERSION 3.10)
# 项目信息
project(test_account)
# 添加动态库
add_library(Account SHARED "./account_dir/Account.cpp" "./account_dir/Account.h")
# 添加可执行文件
add_executable(test_account "./test_account/test_account.cpp")
# 添加头文件
target_include_directories(test_account PUBLIC "./account_dir")
# 添加链接库
target_link_libraries(test_account Account)输出依赖文件
同时添加动态和静态库文件，在一个文件里面就直接用公共的头文件就可以
include_directories(include)
cmake_minimum_required(VERSION 3.10)
project(instal_demo)
# 添加头文件
include_directories(include)
# 添加静态库
add_library(slib STATIC src/slib.cpp include/slib.h)
##添加静态库头文件路径
#target_include_directories(slib PUBLIC include)
# 添加动态库
add_library(dlib SHARED src/dlib.cpp include/dlib.h)
## 添加动态库头文件路径
#target_include_directories(dlib PUBLIC include)
# 设置RPATH，否则install后，运行时找不到动态库
SET(CMAKE_BUILD_WITH_INSTALL_RPATH TRUE)
SET(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_PREFIX}/lib")
# 添加可执行文件
add_executable(instal_demo main.cpp)
# 链接库
target_link_libraries(instal_demo slib dlib)
# 设置公共头文件，以便install时，将头文件一起安装
set_target_properties(slib PROPERTIES PUBLIC_HEADER include/slib.h)
set_target_properties(dlib PROPERTIES PUBLIC_HEADER include/dlib.h)
# 设置安装
install(TARGETS instal_demo slib dlib#动态静态可执行文件都叫TARGETS
RUNTIME DESTINATION bin # 可执行文件
LIBRARY DESTINATION lib # 动态库
ARCHIVE DESTINATION lib # 静态库
PUBLIC_HEADER DESTINATION include # 公共头文件
)
install(DIRECTORY include/ DESTINATION include)
# 安装头文件 把.h文件也安装过去
# install(DIRECTORY include/ DESTINATION include)
# 设置安装
install(TARGETS instal_demo slib dlib#动态静态可执行文件都叫TARGETS
RUNTIME DESTINATION bin # 可执行文件
LIBRARY DESTINATION lib # 动态库
ARCHIVE DESTINATION lib # 静态库
)
#[[
如果不设置DCMAKE_INSTALL_PREFIX ，则会安装到 /usr/local 目录下
cmake -S . -B build -DCMAKE_INSTALL_PREFIX=./installed
或者其他目录
cmake -S . -B build -DCMAKE_INSTALL_PREFIX=~/Documents/install_demo
cmake --build build
cmake --install build
]]找依赖库
# 最低版本要求
cmake_minimum_required(VERSION 3.10)
# 项目信息
project(trt_demo LANGUAGES CXX CUDA)
# 添加CMAKE_MODULE_PATH，否则找不到FindTensorRT.cmake
list (APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
# 寻找TensorRT库
find_package(TensorRT REQUIRED)
if (TensorRT_FOUND)
message(STATUS "Found TensorRT ${TensorRT_VERSION} in ${TensorRT_ROOT_DIR}")
message(STATUS "TensorRT libraries: ${TensorRT_LIBRARIES}")
message(STATUS "TensorRT include files: ${TensorRT_INCLUDE_DIRS}")
else()
message(FATAL_ERROR "Cannot find TensorRT")
endif()
# 添加可执行文件
add_executable(build src/build.cpp)
# 头文件
target_include_directories(build PRIVATE ${TensorRT_INCLUDE_DIRS})
# 链接库
target_link_libraries(build PRIVATE ${TensorRT_LIBRARIES})
# 添加可执行文件
add_executable(runtime src/runtime.cu)
# 头文件
target_include_directories(runtime PRIVATE ${TensorRT_INCLUDE_DIRS})
# 链接库
target_link_libraries(runtime PRIVATE ${TensorRT_LIBRARIES})cmake编译报错
nvcc fatal : Cannot find compiler 'cl.exe' in PATH
需要将C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.35.32215\bin\Hostx64\x64添加到环境变量中
报错No CUDA toolset found.
Got the issue solved by manually copying the files from C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\visual_studio_integration\MSBuildExtensions to C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations.（不同的版本对应不同的位置）
如果报错Could NOT find TensorRT，将TensorRT添加到环境变量中
By not providing "FindTensorRT.cmake" in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by "TensorRT",
but CMake did not find one.
Could not find a package configuration file provided by "TensorRT" with any
of the following names:
TensorRTConfig.cmake
tensorrt-config.cmake
Add the installation prefix of "TensorRT" to CMAKE_PREFIX_PATH or set
"TensorRT_DIR" to a directory containing one of the above files. If
"TensorRT" provides a separate development package or SDK, be sure it has
been installed.添加变量文件
## find tensorrt
include(FindPackageHandleStandardArgs)
## 用户可以输入的TensorRT 搜索路径
set(TensorRT_ROOT
""
CACHE
PATH
"TensorRT root directory")
## 设置TensorRT 搜索路径
set(TensorRT_SEARCH_PATH
/usr/include/x86_64-linux-gnu
/usr/src/tensorrt
/usr/lib/x86_64-linux-gnu
${TensorRT_ROOT}
)
## 设置需要搜索的TensorRT 依赖库
set(TensorRT_ALL_LIBS
nvinfer
nvinfer_plugin
nvparsers
nvonnxparser
)
## 提前设置后面需要用的变量
set(TensorRT_LIBS_LIST)
set(TensorRT_LIBRARIES)
## 搜索头文件的路径
find_path(
TensorRT_INCLUDE_DIR
NAMES NvInfer.h
PATHS ${TensorRT_SEARCH_PATH}
)
## 利用头文件路径下的version文件来设置TensorRT的版本信息
if(TensorRT_INCLUDE_DIR AND EXISTS "${TensorRT_INCLUDE_DIR}/NvInferVersion.h")
file(STRINGS "${TensorRT_INCLUDE_DIR}/NvInferVersion.h" TensorRT_MAJOR REGEX "^#define NV_TENSORRT_MAJOR [0-9]+.*$")
file(STRINGS "${TensorRT_INCLUDE_DIR}/NvInferVersion.h" TensorRT_MINOR REGEX "^#define NV_TENSORRT_MINOR [0-9]+.*$")
file(STRINGS "${TensorRT_INCLUDE_DIR}/NvInferVersion.h" TensorRT_PATCH REGEX "^#define NV_TENSORRT_PATCH [0-9]+.*$")
string(REGEX REPLACE "^#define NV_TENSORRT_MAJOR ([0-9]+).*$" "\\1" TensorRT_VERSION_MAJOR "${TensorRT_MAJOR}")
string(REGEX REPLACE "^#define NV_TENSORRT_MINOR ([0-9]+).*$" "\\1" TensorRT_VERSION_MINOR "${TensorRT_MINOR}")
string(REGEX REPLACE "^#define NV_TENSORRT_PATCH ([0-9]+).*$" "\\1" TensorRT_VERSION_PATCH "${TensorRT_PATCH}")
set(TensorRT_VERSION_STRING "${TensorRT_VERSION_MAJOR}.${TensorRT_VERSION_MINOR}.${TensorRT_VERSION_PATCH}")
endif()
message("TensorRT version: ${TensorRT_VERSION_STRING}")
## 搜索sample code的路径
find_path(
TensorRT_SAMPLE_DIR
NAMES trtexec/trtexec.cpp
PATHS ${TensorRT_SEARCH_PATH}
PATH_SUFFIXES samples
)
## 依次搜索TensorRT依赖库
foreach(lib ${TensorRT_ALL_LIBS} )
find_library(
TensorRT_${lib}_LIBRARY
NAMES ${lib}
PATHS ${TensorRT_SEARCH_PATH}
)
## 存储TensorRT的依赖库变量
set(TensorRT_LIBS_VARS TensorRT_${lib}_LIBRARY ${TensorRT_LIBS_LIST})
## 也是TensorRT的依赖库，存成list，方便后面用foreach
list(APPEND TensorRT_LIBS_LIST TensorRT_${lib}_LIBRARY)
endforeach()
## 调用cmake内置功能，设置基础变量如xxx_FOUND
find_package_handle_standard_args(TensorRT REQUIRED_VARS TensorRT_INCLUDE_DIR TensorRT_SAMPLE_DIR ${TensorRT_LIBS_VARS})
if(TensorRT_FOUND)
## 设置Tensor_LIBRARIES变量
foreach(lib ${TensorRT_LIBS_LIST} )
list(APPEND TensorRT_LIBRARIES ${${lib}})
endforeach()
message("Found TensorRT: ${TensorRT_INCLUDE_DIR} ${TensorRT_LIBRARIES} ${TensorRT_SAMPLE_DIR}")
message("TensorRT version: ${TensorRT_VERSION_STRING}")
endif()报错
Policy CMP0104 is not set: CMAKE_CUDA_ARCHITECTURES now detected for NVCC,
empty CUDA_ARCHITECTURES not allowed. Run "cmake --help-policy CMP0104"
for policy details. Use the cmake_policy command to set the policy and
suppress this warning.
在cmkae文件中加入
# 显卡算力
if(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
set(CMAKE_CUDA_ARCHITECTURES 86)
endif()报错
添加环境变量(linux)
export PATH=/usr/local/cuda-11.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-11.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export CUDA_HOME="/usr/local/cuda-11.1/"
export CPATH=/usr/local/cuda-11.1/targets/x86_64-linux/include:$CPATH
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda-11.1/lib64报错
添加环境变量（win）
本文章为转载内容，我们尊重原作者对文章享有的著作权。如有内容错误或侵权问题，欢迎原作者联系我们进行内容更正或删除文章。
