一、安裝WSL2下的Ubuntu20.04
1)打開windows WSL服務
# 以管理員身份運行 PowerShell dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart
# 使用powershell將wsl2設置爲默認版本 wsl --set-default-version 2
2)安裝linux子系統
# 安裝操作系統 wsl --install -d <可安裝的版本名> 例如,我安裝版本名爲Ubuntu-18.04,命令爲:wsl --install -d Ubuntu-20.04 wsl --install -d Ubuntu-20.04
# 查看可以安裝的linux版本
wsl -l -o
3)給Ubuntu換源
# 備份源列表 sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak # 命令行打開sources.list文件 sudo vim /etc/apt/sources.list
deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal main restricted universe multiverse # deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal main restricted universe multiverse deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-updates main restricted universe multiverse # deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-updates main restricted universe multiverse deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-backports main restricted universe multiverse # deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-backports main restricted universe multiverse deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-security main restricted universe multiverse # deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-security main restricted universe multiverse multiverse
sudo apt-get update
二、遷移子系統到其他磁盤
wsl --shutdown Ubuntu-20.04 wsl --export Ubuntu-20.04 D:\WSL2\WSL2Ubuntu20.04.bak wsl --unregister Ubuntu-20.04 wsl --import Ubuntu-20.04 D:\WSL2Ubuntu20.04LTS D:\WSL2\WSL2Ubuntu20.04.bak --version 2
三、修改爲靜態IP地址
在 /etc/netplan 下創建 01-network-manager-all.yaml 文件,包含以下內容:
# Let NetworkManager manage all devices on this system network: version: 2 renderer: NetworkManager ethernets: eth0: #網卡名 dhcp4: no #關閉ipv4動態分配ip地址 dhcp6: no #關閉ipv6動態分配ip地址 addresses: [172.19.222.100/24] #前面是ip地址,子網掩碼是255.255.240.0 gateway4: 172.19.208.1 #網關 nameservers: addresses: [114.114.114.114, 8.8.8.8] #DNS
四、在WSL下啓用 systemctl 命令
參考:https://www.cnblogs.com/leokale-zz/p/17579564.html
五、安裝 openssh
sudo apt-get install openssh-server -y
修改 /etc/ssh/sshd_config 配置內容
port 22 AllowUsers root leo PermitRootLogin yes PasswordAuthentication yes
啓動服務:
sudo service ssh restart #或 sudo systemctl start ssh # 開機啓動 sudo systemctl enable ssh
六、安裝anaconda
下載:https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
版本:Anaconda3-2023.07-1-Linux-x86_64.sh (Python3.11)
bash Anaconda3-2023.07-1-Linux-x86_64.sh
七、安裝nginx
下載使用:http://tengine.taobao.org/download/tengine-2.3.0.tar.gz
wget http://tengine.taobao.org/download/tengine-2.3.0.tar.gz tar zxf tengine-2.3.0.tar.gz
編譯安裝
cd tengine-2.3.0 ./configure --prefix=/usr/local/nginx make -j16 sudo make install
# 將nginx用systemctl管理 vi /usr/lib/systemd/system/nginx.service [Unit] Description=The nginx HTTP and reverse proxy server After=syslog.target network.target remote-fs.target nss-lookup.target [Service] Type=forking PIDFile=/opt/nginx/logs/nginx.pid ExecStartPre=/opt/nginx/sbin/nginx -t ExecStart=/opt/nginx/sbin/nginx -c /opt/nginx/conf/nginx.conf ExecReload=/bin/kill -s HUP $MAINPID ExecStop=/bin/kill -s QUIT $MAINPID PrivateTmp=true [Install] WantedBy=multi-user.target
systemctl enable nginx.service
systemctl start nginx.service
Nginx配置:
參考:https://www.cnblogs.com/leokale-zz/p/11773349.html
八、安裝redis
下載:http://download.redis.io/releases/redis-5.0.7.tar.gz
# 下載redis wget http://download.redis.io/releases/redis-5.0.7.tar.gz # 解壓縮 tar xzf redis-5.0.7.tar.gz # 移動文件夾到/usr/local中 sudo mv redis-5.0.7 /usr/local/ # 進入redis目錄 cd /usr/local/redis-5.0.7
sudo make all
sudo make install
cd /etc sudo mkdir redis cd /usr/local/redis-5.0.7 sudo cp redis.conf /etc/redis/redis.conf
修改redis.conf內容:
cd /etc/redis/
sudo nano redis.conf
bind 172.19.222.100 127.0.0.1 # 服務IP地址 port 6379 # 服務端口 daemonize yes # 是否以守護進程形式運行 dbfilename dump.rdb # 持久化數據文件名稱 dir /var/lib/redis # 持久化數據文件存放位置 logfile /var/log/redis/redis-server.log # 日誌文件存放位置 database 16 # 一共16個數據庫,編號1~15 slaveof # 設置主從複製(用於分佈式)
cd /var/lib sudo mkdir redis cd /var/log sudo mkdir redis
設置redis服務:
# 編輯文件 vim /usr/lib/systemd/system/redis.service # 在redis.service文件中加入以下內容 並保存 ########################## [Unit] Description=Redis-5.0.7-6379 After=network.target [Service] Type=forking PIDfile=/var/run/redis-6379.pid ExecStart=/usr/local/bin/redis-server /etc/redis/redis.conf ExecReload=/bin/kill -s HUP $MAINPID ExecStop=/bin/kill -s QUIT $MAINPID PrivateTmp=true [Install] WantedBy=multi-user.target ###########################
sudo systemctl daemon-reload
sudo systemctl enable redis sudo systemctl start redis
九、安裝 cuda toolkit
CUDA toolkit版本12.1
wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600 wget https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda-repo-wsl-ubuntu-12-1-local_12.1.0-1_amd64.deb sudo dpkg -i cuda-repo-wsl-ubuntu-12-1-local_12.1.0-1_amd64.deb sudo cp /var/cuda-repo-wsl-ubuntu-12-1-local/cuda-*-keyring.gpg /usr/share/keyrings/ sudo apt-get update sudo apt-get -y install cuda
配置cuda環境變量
export CUDA_HOME=/usr/local/cuda-12.1 export PATH=/usr/local/cuda-12.1/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64:$LD_LIBRARY_PATH
十、安裝cudnn
cudnn版本8.9.3.28
下載:cudnn-local-repo-ubuntu2004-8.9.3.28_1.0-1_amd64.deb
sudo dpkg -i cudnn-local-repo-ubuntu2004-8.9.3.28_1.0-1_amd64.deb sudo cp /var/cudnn-local-repo-ubuntu2004-8.9.3.28/cudnn-local-AAD7FE56-keyring.gpg /usr/share/keyrings/ apt-get update sudo apt-get install libcudnn8=8.9.3.28-1+cuda12.1 sudo apt-get install libcudnn8-dev=8.9.3.28-1+cuda12.1 sudo apt-get install libcudnn8-samples=8.9.3.28-1+cuda12.1
驗證是否成功:
sudo apt-get install libfreeimage3 libfreeimage-dev -y cp -r /usr/src/cudnn_samples_v8/ $HOME cd $HOME/cudnn_samples_v8/mnistCUDNN make clean && make ./mnistCUDNN
#Test Passed!
十一、編譯安裝ffmpeg
1)安裝pkg-config
sudo apt-get install pkg-config
2)安裝nv-codec-headers
git clone https://git.videolan.org/git/ffmpeg/nv-codec-headers.git cd nv-codec-headers sudo make install # 驗證是否安裝成功 pkg-config --modversion ffnvcodec
3)源碼安裝libx264(可選apt安裝)
git clone https://code.videolan.org/videolan/x264.git cd x264 ./configure --disable-asm --enable-shared --enable-pic # 編譯 & 安裝 make -j32 sudo make install
4)安裝依賴庫
sudo apt-get install -y aptitude sudo aptitude install -y build-essential sudo aptitude install -y yasm nasm sudo apt-get install -y libssl-dev librtmp-dev libvorbis-dev sudo apt-get install -y libgmp3-dev libaom-dev libtheora-dev sudo apt-get install -y libass-dev libbluray-dev libfdk-aac-dev sudo apt-get install -y libmp3lame-dev libopencore-amrnb-dev sudo apt-get install -y libopenmpt-dev libopus-dev libxvidcore-dev liblzma-dev sudo apt-get install -y libshine-dev libsnappy-dev libsoxr-dev sudo apt-get install -y libspeex-dev libtheora-dev libtwolame-dev sudo apt-get install -y libvo-amrwbenc-dev libvpx-dev libwavpack-dev sudo apt-get install -y libwebp-dev libx264-dev libx265-dev
5)下載ffmpeg源碼
wget https://ffmpeg.org/releases/ffmpeg-4.4.tar.gz tar zxvf ffmpeg-4.4.tar.gz
6)編譯安裝
./configure --prefix="/usr/local/ffmpeg" \ --enable-static --enable-shared \ --enable-version3 --enable-gpl \ --enable-nonfree --enable-small --enable-libmp3lame \ --enable-libx264 --enable-libx265 \ --enable-libvpx --enable-libtheora --enable-libvorbis \ --enable-libopus --enable-libfdk-aac --enable-libass --enable-libwebp \ --enable-librtmp --enable-postproc --enable-libfreetype --enable-pthreads \ --enable-openssl --enable-shared --disable-debug --disable-doc --disable-ffplay \ --enable-cuvid --enable-cuda --enable-cuda-nvcc \ --extra-cflags="-I/usr/local/cuda-12.1/include" --extra-ldflags="-L/usr/local/cuda-12.1/lib64" \ --extra-cflags="-I/usr/local/include" --extra-ldflags="-L/usr/local/lib" --extra-libs="-lpthread -lm"
sudo make -j16 sudo make install
問題:
ERROR: failed checking for nvcc. #將configure文件中的sm_30爲sm_90(cuda12對應90)
十二、安裝AI環境
1)安裝python依賴
# requirements.txt文件內容 requests wget numpy prettytable tqdm thop Pillow seaborn redis tensorboard soundfile librosa Polygon3 zhconv pydub==0.25.1 scikit-learn==1.2.1 typeguard==2.13.3 opencv-python==4.4.0.46 Flask==2.2.3 gpustat==1.0.0 psutil==5.9.4
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
2)安裝cudatoolkit
cudatoolkit版本11.8
conda install cudatoolkit=11.8 -c conda-forge
3)安裝torch
torch版本2.0.0
下載鏈接:https://download.pytorch.org/whl/cu118/torch-2.0.0%2Bcu118-cp39-cp39-linux_x86_64.whl
pip install torch-2.0.0+cu118-cp39-cp39-linux_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple
4)安裝paddlepaddle-gpu
python -m pip install paddlepaddle-gpu==2.5.0.post117 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html
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