# WSL安裝
Windows Subsystem for Linux

## 語法

docker start

$ sudo service docker restart
$ service docker status

update

$ sudo apt-get update

root

$ sudo -s

Windows Ubuntu LTS path

* C:\Users\A60610\AppData\Local\Packages\CanonicalGroupLimited.Ubuntu20.04LTS_79rhkp1fndgsc

python

sudo apt-get install python-gi-dev

## 安裝WSL
1. 更新 Windows 的 Nvidia 驅動程式
2. 【程式和功能】 啟動【Windows 子系統 Linux 版】與【虛擬機器平台】
[Windows 10 上跑 Ubuntu 18.04](https://https://medium.com/@misscoming/%E5%9C%A8-windows-10-%E4%B8%8A%E8%B7%91-ubuntu-18-04-92f80b2d725b)
4. 啟動虛擬機功能
[WSL：WslRegisterDistribution Error](https://https://hackmd.io/@withhhsong/WslRegisterDistributionError)
工作管理員 -->【模擬】 已啟用
5. 下載並安裝 Linux 核心更新套件
已安裝更高版本號
6. 設定 WSL
CMD 輸入指令
`wsl --status`
即使顯示預設版本為 2
建議使用CMD指令再次指定為 2
`wsl --set-default-version 2`
CMD查詢指令
`wsl --list --verbose`
8. 開啟【Microsoft Store】 Ubuntu 20.04.6 LTS
9. 設定使用者帳號與密碼?
每次開啟都是root
10. 可以在【Microsoft Store】 下載 Windows Terminal
往後開啟Ubuntu都用這個開啟, 可以使用文字複製貼上

## 安裝 Docker

$sudo apt-get update
$sudo apt-get install apt-transport-https ca-certificates curl gnupg lsb-release

$sudo mkdir -p /etc/apt/keyrings

$curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

$echo \
"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

$sudo apt-get update

$sudo apt-get update

$sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin

$ sudo usermod -aG docker $USER
$ sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin
$ sudo usermod -aG docker $USER

$ sudo service docker restart
$ service docker status

## 安裝 Nvidia-Docker

$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
$ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
$ curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
$ curl -s -L https://nvidia.github.io/libnvidia-container/experimental/$distribution/libnvidia-container-experimental.list | sudo tee /etc/apt/sources.list.d/libnvidia-container-experimental.list

$ sudo apt-get update

$ sudo apt-get install -y nvidia-container-toolkit
$ sudo nvidia-ctk runtime configure --runtime=docker

$ sudo service docker restart
$ service docker status

測試安裝結果-1

$ sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi

測試安裝結果-2 tensorflow

$ sudo docker run --runtime=nvidia  --rm -it --name tensorflow-1.14.0 tensorflow/tensorflow:1.14.0-gpu-py3

tensorflow

$ python
$ import tensorflow as tf
$ print(tf.test.is_gpu_available())

## 安裝NVIDIA NGC -- admin01
https://ngc.nvidia.com/setup/api-key

註冊/登入 (用google 帳號) nvdia##%%%%

API Key:

$ docker login nvcr.io
$ $oauthtoken
dnA5aGRvdTMzb2hxYjdraTFrdjVlN2dmMGo6MmRiMTY0YzUtMzUyZi00YzE0LWI2YTEtZjZmZTI1YmY1OTRi

NGC 權限設定
x509--尚未解決 (工研院網路):

Error response from daemon: Get "https://nvcr.io/v2/": tls: failed to verify certificate: x509: certificate signed by unknown authority

換成個人4G網路連線，則可成功 Login Succeede

下載映像檔(image) (下載有點久, 要下載20GB以上)

$ docker pull nvcr.io/nvidia/deepstream:6.2-devel
$ docker pull nvcr.io/nvidia/deepstream:6.2-samples

檔案大小約35GB

C:\Users\A60610\AppData\Local\Packages\CanonicalGroupLimited.Ubuntu20.04LTS_79rhkp1fndgsc\LocalStateLocalState\ext4.vhdx

### 安裝 VNC SERVER

$ sudo service docker restart
$ service docker status
$ vncserver
$ ifconfig
$ vncserver -kill :1

$ sudo apt update && sudo apt upgrade
Do you want to continue? [Y/n] y
$ sudo apt install xfce4 xfce4-goodies
Do you want to continue? [Y/n] y  
安裝 xfce4 跳出選擇視窗，選 gdm3 (安裝很久)
$ sudo apt install tightvncserver
$ sudo apt install dbus-x11
$ sudo apt install net-tools

$ vncserver

You will require a password to access your desktops.
Password: admin01 (密碼不能太短, 不給過)

Verify:
Would you like to enter a view-only password (y/n)? n
選項記得選輸入n

xauth:  file /root/.Xauthority does not exist
New 'X' desktop is 52-0A60610-01:1

$ vncserver -kill :1
先停止 server 進行其他設定
Killing Xtightvnc process ID 22282

Password: `admin01` (VNC 登入會用到)

Linux vi 文字編輯器操作說明
https://www.tpisoftware.com/tpu/articleDetails/1578
先存檔再離開vi `:wq`
捨棄所有修改，強制離開vi `:qa!`

在 Ubuntu 20.04 中使用 VNC server
https://yuxian0908.github.io/system/2020/09/18/Linux_Vnc_Server/
tightVNC with xfce

執行指令：`vncserver`
New 'X' desktop is 52-0A60610-01:4

windows 安裝 VNC VIEWER
WSL IP：`ifconfig`
172.25.253.78:5901
172.29.17.3:5905
查看進行遠端連線的 PID：`netstat -anp |grep tcp`
tcp 0 0 0.0.0.0:5904 0.0.0.0:* LISTEN 591/Xtightvnc
tcp 0 0 0.0.0.0:6004 0.0.0.0:* LISTEN 591/Xtightvnc

找到數字後可以直接 KILL，例如：`kill 12345`

$ xhost +
access control disabled, clients can connect from any host

### 執行 docker deepstream
啟動docker

$ sudo docker  run  -it  --rm  --net=host --runtime nvidia  -e  DISPLAY=$DISPLAY  -w  /home/root/sample  -v /tmp/.X11-unix/:/tmp/.X11-unix  nvcr.io/nvidia/deepstream:6.2-samples

執行官網範例 ds_audio_sonyc_test_config

$ cd /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-audio/configs

$ deepstream-audio -c ds_audio_sonyc_test_config.txt

# deepstream-audio Prerequisites

Follow these procedures to use the deepstream-audio application for native
compilation.

You must have the following development packages installed

GStreamer-1.0
GStreamer-1.0 Base Plugins
GStreamer-1.0 gstrtspserver
X11 client-side library

To install these packages, execute the following command:
(進入docker內安裝就不用加 sudo)

sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
   libgstrtspserver-1.0-dev libx11-dev libjson-glib-dev