废话不多说，直接上流程

查看系统版本

head -n 1 /etc/nv_tegra_release

输出如下：

# R35 (release), REVISION: 6.0, GCID: 37391689, BOARD: t194ref, EABI: aarch64, DATE: Wed Aug 28 09:12:27 UTC 2024

表示版本系统是：L4T 35.6.0
设备类型：t194ref

添加安装源

sudo bash -c 'echo "deb https://repo.download.nvidia.com/jetson/common r35.6 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list'
sudo bash -c 'echo "deb https://repo.download.nvidia.com/jetson/t194 r35.6 main" >> /etc/apt/sources.list.d/nvidia-l4t-apt-source.list'

更新

sudo apt upgrade
sudo apt update
sudo apt dist-upgrade
sudo apt install nvidia-l4t-apt-source
sudo apt update

安装

# 方式1
sudo apt install nvidia-jetpack

# 方式2：如果方式1无法安装，那么直接安装指定版本号
# 查看当前仓库中有哪些JetPack版本可用
apt-cache madison nvidia-jetpack
# 选择其中一个
sudo apt install nvidia-jetpack=<你看到的版本号>

检验安装结果

sudo apt show nvidia-jetpack | grep Version

会输出你安装的版本号

配置Cuda环境变量

vim ~/.bashrc                                                                        
# 在文本末添加如下指令
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export PATH=$PATH:/usr/local/cuda/bin
export CUDA_HOME=$CUDA_HOME:/usr/local/cuda

然后更新环境变量

source ~/.bashrc

查看安装cuda是否成功：

nvcc -V

配置cuDNN

sudo cp /usr/include/cudnn* /usr/local/cuda/include
sudo cp /usr/lib/aarch64-linux-gnu/libcudnn* /usr/local/cuda/lib64

sudo chmod 777 /usr/local/cuda/include/cudnn.h 
sudo chmod 777 /usr/local/cuda/lib64/libcudnn*
# 重新软链接，这里的8.6.0和8对应安装的cudnn版本号和首数字
cd /usr/local/cuda/lib64

sudo ln -sf libcudnn.so.8.6.0 libcudnn.so.8

sudo ln -sf libcudnn_ops_train.so.8.6.0 libcudnn_ops_train.so.8
sudo ln -sf libcudnn_ops_infer.so.8.6.0 libcudnn_ops_infer.so.8

sudo ln -sf libcudnn_adv_train.so.8.6.0 libcudnn_adv_train.so.8
sudo ln -sf libcudnn_adv_infer.so.8.6.0 libcudnn_adv_infer.so.8

sudo ln -sf libcudnn_cnn_train.so.8.6.0 libcudnn_cnn_train.so.8
sudo ln -sf libcudnn_cnn_infer.so.8.6.0 libcudnn_cnn_infer.so.8

sudo ldconfig

参考链接