Configure server environment

vscode terminal

    cd /home/503-2/
​
    cp  Anaconda3-2022.05-Linux-x86_64.sh /home/user  

user For your user name

1. install anaconda

    sh Anaconda3-2022.05-Linux-x86_64.sh
​
     The previous default selection is OK   always enter
​
     The final choice yes

stay anaconda Install in

Create a new one of your own python Version environment

conda create -n name python=3.8
name: Your environment name , Customize   

Activate your new environment

conda activate name

Install... In your own environment torch

conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia

Tested available

2. To configure cuda

Input

    vi .bashrc

add to

export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}
​
export LD_LIBRARY_PATH=/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

3. Close your remote connection and reconnect

Input

    nvcc -V

Output

nvcc: NVIDIA (R) Cuda compiler driver

Copyright (c) 2005-2021 NVIDIA Corporation

Built on Sun_Mar_21_19:15:46_PDT_2021

Cuda compilation tools, release 11.3, V11.3.58

Build cuda_11.3.r11.3/compiler.29745058_0

 success ！！！！

4. Direct use by oneself anaconda

Reference blog ：

Use your own environment adopt conda activate name To use the environment you created , The name of the environment I created before is seg, So I'll type in

conda activate seg 1 Just change the environment from base Become mine seg

If you want to go back base Environmental Science , You can enter

conda deactivate 1 If you want to see which environments are currently available, you can enter

conda env list 1 Want to delete the environment , You can enter ,name Replace it with the environment name you want to delete .

conda env remove -n name ———————————————— Copyright notice ： This paper is about CSDN Blogger 「 watermelon 6」 The original article of , follow CC 4.0 BY-SA Copyright agreement , For reprint, please attach the original source link and this statement . Link to the original text ： Build your own... On the server python Environmental Science ( For Xiaobai )_ watermelon 6 The blog of -CSDN Blog _ The server python Environment building

  Build your own... On the server python Environmental Science ( For Xiaobai )

stay linux Configure the virtual environment on the server --python+TensorFlow

Deep learning experimental basis 02： The lab server uses

Install on the lab server anaconda Environment and simple to use

How to be in Linux Installation on server Anaconda（ Hyperdetail ）