linux c++ 开发 tensorrt 安装

tensorrt 官方下载地址(需要注册账号登录):Log in | NVIDIA Developer

根据系统发行版和CUDA版本 (nvcc -V) 选择合适的安装包

EA(early access)版本代表抢先体验。

GA(general availability)代表稳定版,经过全面测试。

建议选用 TensorRT 最新版本的 GA release

为了不影响系统环境,只进行单个 C++ 项目的开发,这里选用 TAR Package,解压即用,无需安装。

tar -zxvf TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-11.8.tar.gz

cmake 文件参考

复制代码
cmake_minimum_required(VERSION 3.1)

set(CMAKE_CUDA_ARCHITECTURES 60 61 62 70 72 75 86)
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)

project(yolov8 LANGUAGES CXX CUDA)

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14 -O3")
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_BUILD_TYPE Release)
option(CUDA_USE_STATIC_CUDA_RUNTIME OFF)

# CUDA
find_package(CUDA REQUIRED)
message(STATUS "CUDA Libs: \n${CUDA_LIBRARIES}\n")
get_filename_component(CUDA_LIB_DIR ${CUDA_LIBRARIES} DIRECTORY)
message(STATUS "CUDA Headers: \n${CUDA_INCLUDE_DIRS}\n")

# OpenCV
set(OpenCV_DIR "/home/c++/lib/opencv-4.8.1/build")
find_package(OpenCV REQUIRED)
message(STATUS "OpenCV Libs: \n${OpenCV_LIBS}\n")
message(STATUS "OpenCV Libraries: \n${OpenCV_LIBRARIES}\n")
message(STATUS "OpenCV Headers: \n${OpenCV_INCLUDE_DIRS}\n")

# TensorRT
set(TensorRT_INCLUDE_DIRS "/home/c++/lib/TensorRT-8.6.1.6/include")
set(TensorRT_LIBRARIES "/home/c++/lib/TensorRT-8.6.1.6/lib")
set(TensorRT_LIB1 "/home/c++/lib/TensorRT-8.6.1.6/lib/libnvinfer.so")
set(TensorRT_LIB2 "/home/c++/lib/TensorRT-8.6.1.6/lib/libnvinfer_plugin.so")


message(STATUS "TensorRT Libs: \n${TensorRT_LIBRARIES}\n")
message(STATUS "TensorRT Headers: \n${TensorRT_INCLUDE_DIRS}\n")

list(APPEND INCLUDE_DIRS
        ${CUDA_INCLUDE_DIRS}
        ${OpenCV_INCLUDE_DIRS}
        ${TensorRT_INCLUDE_DIRS}
        include
        )

list(APPEND ALL_LIBS
        ${CUDA_LIBRARIES}
        ${CUDA_LIB_DIR}
        ${OpenCV_LIBRARIES}
        ${TensorRT_LIBRARIES}
        )

include_directories(${INCLUDE_DIRS})

add_executable(${PROJECT_NAME}
        main.cpp
        include/yolov8.hpp
        include/common.hpp
        )

link_directories(${ALL_LIBS})
target_link_libraries(${PROJECT_NAME} PRIVATE ${CUDA_LIBRARIES} ${OpenCV_LIBS} ${TensorRT_LIB1} ${TensorRT_LIB2})
相关推荐
LH_R10 小时前
OneTerm开源堡垒机实战(四):访问授权与安全管控
运维·后端·安全
用户311879455921811 小时前
Kylin Linux 10 安装 glib2-devel-2.62.5-7.ky10.x86_64.rpm 方法(附安装包)
linux
Raymond运维11 小时前
MariaDB源码编译安装(二)
运维·数据库·mariadb
涛啊涛12 小时前
Centos7非LVM根分区容量不足后扩容,对调硬盘挂载/
linux·磁盘管理
JuiceFS1 天前
从 MLPerf Storage v2.0 看 AI 训练中的存储性能与扩展能力
运维·后端
CYRUS_STUDIO1 天前
用 Frida 控制 Android 线程:kill 命令、挂起与恢复全解析
android·linux·逆向
熊猫李1 天前
rootfs-根文件系统详解
linux
chen9451 天前
mysql 3节点mgr集群部署
运维·后端
LH_R1 天前
OneTerm开源堡垒机实战(三):功能扩展与效率提升
运维·后端·安全
dessler1 天前
Hadoop HDFS-高可用集群部署
linux·运维·hdfs