public:support:labex-efl-gpu:lipn-a40

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public:support:labex-efl-gpu:lipn-a40 [2023/07/11 14:41]
abedelkader [Installation of Pytorch library on the lipn-a40 server]
public:support:labex-efl-gpu:lipn-a40 [2023/07/11 14:44] (Version actuelle)
abedelkader [Installation of Pytorch library on the lipn-a40 server]
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 ===== Installation of Pytorch library on the lipn-a40 server ===== ===== Installation of Pytorch library on the lipn-a40 server =====
  
-**If you had an problems with th CUDA version : you should follow these steps:**+''** If you had an problems with th CUDA version : **''
  
-  - you should remove the your environment using this command <blockquote>rm -r miniconda3</blockquote> +''** You should follow these steps:**''
  
-  - Then donwlaod the miniconda using this command : <blockquote>wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh</blockquote>+  - You should remove the your environment using this command : <blockquote>rm -r miniconda3</blockquote> 
  
 +  - Then downlaod the miniconda using this command : <blockquote>wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh</blockquote>
  
-  - To install the miniconda , you willl have to change the permissions, since you are not a admin ( and you are not :) ) using this command you will add the the executable using this command : <blockquote>chmod +x Miniconda3-latest-Linux-x86_64.sh</blockquote> 
  
 +  - To install the miniconda , you willl have to change the permissions, since you are not a admin ( and you are not :) ) using this command you will add the the executable permission to your file using this command : <blockquote>chmod +x Miniconda3-latest-Linux-x86_64.sh</blockquote>
  
-  to launch your environement you have to use this command : <blockquote>source ~/.bashrc</blockquote> or simply  <blockquote>conda activate</blockquote>+ 
 +  To launch your environement you have to use this command : <blockquote>source ~/.bashrc</blockquote> or simply  <blockquote>conda activate</blockquote>
  
  
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-  - FOr installing the right tirhc version with the CUDA version you will use this command : <blockquote>pip3 install torch torchvision torchaudio</blockquote>+  - For installing the right tirhc version with the CUDA version you will use this command : <blockquote>pip3 install torch torchvision torchaudio</blockquote>
  
  
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