如何从JetPack4.3 和 JetPack4.4 DP 版本升级SDK到JetPack4.4版本?
NVIDIA提供从JetPack 4.4开始，升级到下一个JetPack版本可以直接使用DEBIAN包管理工具而不用直接烧录的方式，按照以下步骤执行升级:
- 升级JetPack 组件包
$sudo apt install nvidia-jetpack
如果存储空间有限则可以先移除旧包（如16GB EMMC），参考命令 :
#如下移除JetPack4.3 的SDK 包
$sudo apt autoremove --purge nvidia-container-csv-cuda libopencv-python libvisionworks-sfm-dev libvisionworks-dev libvisionworks-samples libnvparsers6 libcudnn7-doc libcudnn7-dev libnvinfer-samples libnvinfer-bin nvidia-container-csv-cudnn libvisionworks-tracking-dev vpi-samples tensorrt libopencv libnvinfer-doc libnvparsers-dev libcudnn7 libnvidia-container0 cuda-toolkit-10-0 nvidia-container-csv-visionworks graphsurgeon-tf libopencv-samples python-libnvinfer-dev libnvinfer-plugin-dev libnvinfer-plugin6 nvidia-container-toolkit libnvinfer-dev libvisionworks libopencv-dev nvidia-l4t-jetson-multimedia-api vpi-dev vpi python3-libnvinfer python3-libnvinfer-dev opencv-licenses nvidia-container-csv-tensorrt libnvinfer6 libnvonnxparsers-dev libnvonnxparsers6 uff-converter-tf nvidia-docker2 libvisionworks-sfm libnvidia-container-tools nvidia-container-runtime python-libnvinfer libvisionworks-tracking
- 如果机器中已使用SDK管理器安装了JetPack，需删除本地repo
#如下移除JetPack4.3 本地repo
$sudo apt purge cuda-repo-l4t-10-0-local-10.0.326 libvisionworks-repo libvisionworks-sfm-repo libvisionworks-tracking-repo
- 释放apt 缓存空间
$sudo apt clean
- NVIDIA OTA 对L4T进行升级，参考： NVIDIA Jetson Linux Developer Guide.
### How to Install Debian Packages with OTA Update
1.输入命令获取APT 升级仓库列表:
$sudo apt update
2.输入命令显示可更新升级的软件包:
$apt list --upgradable
3.输入命令升级L4T包:
$sudo apt upgrade
4.以上三步更新完成后，重启机器
1.打开apt source:
$ sudo vi /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
2.修改仓库名称及URL 地址（deb）
原始数据:
deb https://repo.download.nvidia.com/jetson/common r32 main
deb https://repo.download.nvidia.com/jetson/<platform> r32 main
其中 <platform> 表示对应平台的处理器:
•t186 for Jetson TX2 series
•t194 for Jetson AGX Xavier series or Jetson Xavier NX
•t210 for Jetson Nano or Jetson TX1
修改后 r32 为 r32.4并对应准确的平台信息如Jetson Xavier :
deb https://repo.download.nvidia.com/jetson/common r32.4 main
deb https://repo.download.nvidia.com/jetson/t194 r32.4 main
3.保存并关闭apt source 配置文件
4.输入命令更新:
$ sudo apt update
$ sudo apt dist-upgrade
如果要求输入configuration 文件选择，点击Y(yes)
5.待更新完成后，重启机器
- 安装新的JetPack 组件包
$apt depends nvidia-jetpack | awk '{print $2}' | xargs -I {} sudo apt install -y {}
#Xavier 升级到JP4.4 后，nvidia-jetpack打包的单个Debian包信息
nvidia@xavier:~$ sudo apt show nvidia-jetpack
Package: nvidia-jetpack
Version: 4.4-b144
Priority: standard
Section: metapackages
Maintainer: NVIDIA Corporation
Installed-Size: 200 kB
Depends: nvidia-container-csv-cuda (= 10.2.89-1), libopencv-python (= 4.1.1-2-gd5a58aa75), libvisionworks-sfm-dev (= 0.90.4.501), libvisionworks-dev (= 1.6.0.501), libnvparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-plugin-dev (= 7.1.0-1+cuda10.2), libnvonnxparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-samples (= 7.1.0-1+cuda10.2), libnvinfer-bin (= 7.1.0-1+cuda10.2), libvisionworks-samples (= 1.6.0.501), libvisionworks-tracking-dev (= 0.88.2.501), vpi-samples (= 0.2.0), tensorrt (= 7.1.0.16-1+cuda10.2), libopencv (= 4.1.1-2-gd5a58aa75), libnvinfer-doc (= 7.1.0-1+cuda10.2), libnvparsers-dev (= 7.1.0-1+cuda10.2), libnvidia-container0 (= 0.9.0~beta.1), nvidia-container-csv-visionworks (= 1.6.0.501), cuda-toolkit-10-2 (= 10.2.89-1), graphsurgeon-tf (= 7.1.0-1+cuda10.2), libcudnn8 (= 8.0.0.145-1+cuda10.2), libopencv-samples (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-cudnn (= 8.0.0.145-1+cuda10.2), python-libnvinfer-dev (= 7.1.0-1+cuda10.2), libnvinfer-plugin7 (= 7.1.0-1+cuda10.2), libvisionworks (= 1.6.0.501), libcudnn8-doc (= 8.0.0.145-1+cuda10.2), nvidia-container-toolkit (= 1.0.1-1), libnvinfer-dev (= 7.1.0-1+cuda10.2), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0), libopencv-dev (= 4.1.1-2-gd5a58aa75), vpi-dev (= 0.2.0), vpi (= 0.2.0), libcudnn8-dev (= 8.0.0.145-1+cuda10.2), python3-libnvinfer (= 7.1.0-1+cuda10.2), python3-libnvinfer-dev (= 7.1.0-1+cuda10.2), opencv-licenses (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-tensorrt (= 7.1.0.16-1+cuda10.2), libnvinfer7 (= 7.1.0-1+cuda10.2), libnvonnxparsers-dev (= 7.1.0-1+cuda10.2), uff-converter-tf (= 7.1.0-1+cuda10.2), nvidia-docker2 (= 2.2.0-1), libvisionworks-sfm (= 0.90.4.501), libnvidia-container-tools (= 0.9.0~beta.1), nvidia-container-runtime (= 3.1.0-1), python-libnvinfer (= 7.1.0-1+cuda10.2), libvisionworks-tracking (= 0.88.2.501)
Conflicts: cuda-command-line-tools-10-0, cuda-compiler-10-0, cuda-cublas-10-0, cuda-cublas-dev-10-0, cuda-cudart-10-0, cuda-cudart-dev-10-0, cuda-cufft-10-0, cuda-cufft-dev-10-0, cuda-cuobjdump-10-0, cuda-cupti-10-0, cuda-curand-10-0, cuda-curand-dev-10-0, cuda-cusolver-10-0, cuda-cusolver-dev-10-0, cuda-cusparse-10-0, cuda-cusparse-dev-10-0, cuda-documentation-10-0, cuda-driver-dev-10-0, cuda-gdb-10-0, cuda-gpu-library-advisor-10-0, cuda-libraries-10-0, cuda-libraries-dev-10-0, cuda-license-10-0, cuda-memcheck-10-0, cuda-misc-headers-10-0, cuda-npp-10-0, cuda-npp-dev-10-0, cuda-nsight-compute-addon-l4t-10-0, cuda-nvcc-10-0, cuda-nvdisasm-10-0, cuda-nvgraph-10-0, cuda-nvgraph-dev-10-0, cuda-nvml-dev-10-0, cuda-nvprof-10-0, cuda-nvprune-10-0, cuda-nvrtc-10-0, cuda-nvrtc-dev-10-0, cuda-nvtx-10-0, cuda-samples-10-0, cuda-toolkit-10-0, cuda-tools-10-0, libcudnn7, libcudnn7-dev, libcudnn7-doc, libnvinfer-plugin6, libnvinfer6, libnvonnxparsers6, libnvparsers6
Homepage: http://developer.nvidia.com/jetson
Download-Size: 30.4 kB
APT-Sources: https://repo.download.nvidia.com/jetson/t194 r32.4/main arm64 Packages
Description: NVIDIA Jetpack Meta Package
#查看NV Release 信息依然是L4T-R32.4.3
nvidia@xavier:~$ cat /etc/nv_tegra_release
# R32 (release), REVISION: 4.2, GCID: 20074772, BOARD: t186ref, EABI: aarch64, DATE: Thu Apr 9 01:26:40 UTC 2020
JetPack 4.4版本信息
JetPack 4.4 - L4T R32.4.3 production release
JetPack4.4 SDK.png
