ubuntu 4090 cuda

 

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in@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ mkdir Nvidia
jin@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ ls
公共的  模板  视频  图片  文档  下载  音乐  桌面  Nvidia  snap
jin@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ 
jin@jin-System-Product-Name:~$ cd Nvidia
jin@jin-System-Product-Name:~/Nvidia$ 
jin@jin-System-Product-Name:~/Nvidia$ 
jin@jin-System-Product-Name:~/Nvidia$ ls
jin@jin-System-Product-Name:~/Nvidia$
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin

sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600

wget https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda-repo-ubuntu2204-12-1-local_12.1.1-530.30.02-1_amd64.deb

sudo dpkg -i cuda-repo-ubuntu2204-12-1-local_12.1.1-530.30.02-1_amd64.deb


sudo cp /var/cuda-repo-ubuntu2204-12-1-local/cuda-*-keyring.gpg /usr/share/keyrings/


sudo apt-get update

sudo apt-get -y install cuda
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gedit ~/.bashrc

export PATH=/usr/local/cuda-12.1/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

 

source ~/.bashrc

 

=============================================================================

cuDNN

 

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wget https://developer.download.nvidia.com/compute/cudnn/9.0.0/local_installers/cudnn-local-repo-ubuntu2204-9.0.0_1.0-1_amd64.deb

sudo dpkg -i cudnn-local-repo-ubuntu2204-9.0.0_1.0-1_amd64.deb

sudo cp /var/cudnn-local-repo-ubuntu2204-9.0.0/cudnn-*-keyring.gpg /usr/share/keyrings/


sudo apt-get update


sudo apt-get -y install cudnn
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 ===============================================================================

Anaconda

Anaconda3-2024.02-1-Linux-x86_64.sh

 

 

?
1
bash Anaconda3-2024.02-1-Linux-x86_64.sh

 

 

 

conda list

 

 conda create -n wind_2024 python==3.8

 

 

 conda activate wind_2024

 pip install torch torchvision torchaudio

 

 

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(wind_2024) jin@jin-System-Product-Name:~$ 
(wind_2024) jin@jin-System-Product-Name:~$ python
Python 3.8.0 (default, Nov  6 2019, 21:49:08) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> print(torch.__version__)
2.2.1+cu121
>>> 
>>> exit()
(wind_2024) jin@jin-System-Product-Name:~$ 
(wind_2024) jin@jin-System-Product-Name:~$
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CUDA Toolkit Archive

cuDNN

 

Anaconda

 

 

####################################

posted @   西北逍遥  阅读(227)  评论(0)  编辑  收藏  举报
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