jetson系产品安装pytorch
该安装方式适用于JetPack版本在4.2以上的英特尔系产品：
- Jetson Nano,
- Jetson TX1/TX2
- Jetson Xavier NX/AGX
安装镜像环境
英特尔官方提供的镜像环境在国内下载依赖包速度较慢，可以对镜像进行更改
打开镜像文件
sudo gedit /etc/apt/sources.list
删除原文件，添加以下文件
清华镜像：
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic main restricted universe multiverse
deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic main restricted universe multiverse
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic-updates main restricted universe multiverse
deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic-updates main restricted universe multiverse
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic-backports main restricted universe multiverse
deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic-backports main restricted universe multiverse
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic-security main restricted universe multiverse
deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ bionic-security main restricted universe multiverse
中科大镜像
# 默认注释了源码镜像以提高 apt update 速度，如有需要可自行取消注释
deb http://mirrors.ustc.edu.cn/ubuntu-ports bionic main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu-ports bionic main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu-ports bionic-updates main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu-ports bionic-updates main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu-ports bionic-backports main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu-ports bionic-backports main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu-ports bionic-security main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu-ports bionic-security main restricted universe multiverse
添加后save保存
在终端使用下列命令更新：
sudo apt update
sudo apt upgrade -y
安装python环境及依赖包
jetpack自带python2.7和python3.6，无需加载
若需要使用python3.6,使用python3命令
在终端输入命令：
sudo apt-get install git cmake python3-dev
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev
sudo apt-get install python3-pip
sudo pip3 install -U pip testresources setuptools
安装pytorch依赖包
sudo apt-get install libopenblas-base libopenmpi-dev
sudo pip3 install mpi4py
sudo pip3 install Cython
pytorch官方包下载
NVIDIA官网：https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-7-0-now-available/72048
进入后选择自己需要的pytorch版本
由于此处登的是外网，需要梯子下载，附上pytorch1.7百度网盘：
链接：https://pan.baidu.com/s/1aKma-EJzLiMmEo2-g3tkbw
提取码：dfgs
下载后在文件对应位置打开终端
sudo pip3 install torch-1.7.0-cp36-cp36m-linux_aarch64.whl
安装torchvision
安装依赖包
sudo apt-get install libjpeg-dev zlib1g-dev
参考pytorch对应torchvision版本
git clone --branch v0.6.0 https://github.com/pytorch/vision torchvision
这里克隆git库速度可能很慢。可以参考这个老哥骚操作
接着
cd torchvision
sudo python3 setup.py install
问题
出现错误：
error: command 'aarch64-linux-gnu-gcc' failed with exit status 1
往上翻，发现是
fatal error: libavcodec/avcodec.h: No such file or directory
FFmpeg出现版本错误，打开setup.py
将if has_ffmpeg 改为if False保存即可