cuda-pytorch-gpu快速配置

2021-10-05 19:34:34 阅读：141 来源： 互联网

标签：cn mirrors pytorch cuda https edu gpu tuna tsinghua

sudo apt install net-tools && sudo apt-get install openssh-server && sudo apt-get install ufw && sudo ufw enable && sudo ufw allow 22

sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak

sudo apt install vim 

sudo vim /etc/apt/sources.list 

# 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 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

# 预发布软件源，不建议启用
# deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-proposed main restricted universe multiverse
# deb-src https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ focal-proposed main restricted universe multiverse




sudo apt update && sudo apt upgrade
wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2021.05-Linux-x86_64.sh
bash Anaconda3-2021.05-Linux-x86_64.sh

conda config --set show_channel_urls yes
sudo vim .condarc

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
关闭当前终端并重新开启
sudo ubuntu-drivers autoinstall
reboot
sudo apt-get install nvidia-cuda-toolkit
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64/
conda config --add channels  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/

conda create -n ycy python=3.8 git pandas jupyter ipython pytorch torchvision torchaudio cudatoolkit=11.1 -c nvidia

conda activate ycy

import torch
torch.cuda.device_count()
exit()

conda install nb_conda
sudo apt install jupyter-core

jupyter notebook --generate-config

python

from notebook.auth import passwd
passwd()

sudo vim /home/x-power/.jupyter/jupyter_notebook_config.py 

c.NotebookApp.ip = '*' # 开启所有的IP访问，即可使用远程访问
c.NotebookApp.open_browser = False # 关闭启动后的自动开启浏览器
c.NotebookApp.port = 80  # 设置端口8888，也可用其他的，比如1080，8080等
c.NotebookApp.allow_remote_access = True
c.NotebookApp.allow_root = True
c.NotebookApp.enable_mathjax = True
c.NotebookApp.notebook_dir = '/home/x-power/ycypro'
c.NotebookApp.password = 'argon2:$argon2id$v=19$m=10240,t=10,p=8$MXgKgpyulDXzqNlKVSpktg$Pznz8v6fBtJD44Wt1bARhw'

nohup jupyter notebook > /home/x-power/.jupyter/log/jupyter_log.txt 2>&1 &

netstat -anp |grep 3306

sudo ufw allow 80



sudo service gdm3 stop

sudo service gdm3 start

sudo vim /etc/rc.local

标签：cn,mirrors,pytorch,cuda,https,edu,gpu,tuna,tsinghua
来源： https://www.cnblogs.com/A-FM/p/15369312.html

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cuda-pytorch-gpu快速配置