python-tensorflow-opt-amd on AUR (Arch User Repository)

Last updated: November 24,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python-tensorflow-opt-amd" effortlessly via AUR with the help of a helper(YAY)

a. Install YAY (https://github.com/Jguer/yay)


    
        
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                sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si
            
                    
    
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b. Install python-tensorflow-opt-amd on Arch using YAY


    
        
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                yay -S
            
                        
                python-tensorflow-opt-amd
            
                    
    
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* (Optional) Uninstall python-tensorflow-opt-amd on Arch using YAY


    
        
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                yay -Rns
            
                        
                python-tensorflow-opt-amd
            
                    
    
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2. Manually Install "python-tensorflow-opt-amd" via AUR

a. Ensure you have the base development tools and git installed with:


    
        
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                sudo pacman -S --needed
            
                        
                base-devel git
            
                    
    
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b. Clone python-tensorflow-opt-amd's git locally


    
        
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                git clone https://aur.archlinux.org/python-tensorflow-opt-amd.git 
            
                        
                ~/python-tensorflow-opt-amd
            
                    
    
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c. Go to ~/python-tensorflow-opt-amd folder and install it


   
    
        
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                cd
            
                        
                ~/python-tensorflow-opt-amd
            
                    
    
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            $
        

        
            
                makepkg -si
            
                    
    
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3. Information about the python-tensorflow-opt-amd package on Arch User Repository (AUR)

ID: 1126661
Name: python-tensorflow-opt-amd
PackageBaseID: 184971
PackageBase: tensorflow-amd
Version: 2.9.2-2
Description: Library for computation using data flow graphs for scalable machine learning (AMD upstream with ROCM and AVX2 CPU optimizations)
URL: https://www.tensorflow.org/
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: wuxxin
FirstSubmitted: 1660655134
LastModified: 1660655134
URLPath: /cgit/aur.git/snapshot/python-tensorflow-opt-amd.tar.gz