How to Install and Uninstall libarmnn22 Package on Linux Mint 21 (Vanessa)

Last updated: December 25,2024

1. Install "libarmnn22" package

Here is a brief guide to show you how to install libarmnn22 on Linux Mint 21 (Vanessa)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libarmnn22
            
                    
    
    Copied

2. Uninstall "libarmnn22" package

This tutorial shows how to uninstall libarmnn22 on Linux Mint 21 (Vanessa):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libarmnn22
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libarmnn22 package on Linux Mint 21 (Vanessa)

Package: libarmnn22
Architecture: amd64
Version: 20.08-10build1
Multi-Arch: same
Priority: optional
Section: universe/devel
Source: armnn
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Francis Murtagh
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2739
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Suggests: libarmnntfliteparser22 (= 20.08-10build1), python3-pyarmnn (= 20.08-10build1)
Filename: pool/universe/a/armnn/libarmnn22_20.08-10build1_amd64.deb
Size: 779368
MD5sum: 048f5e37498d7a4dd8ed13d36cb10641
SHA1: 507ddcb458f4a486ba949b8c42b730d3b6036e7e
SHA256: e9e44599fb4f515b2687e0f15e34b784319f3645e416c3abdb3506691f638d0e
SHA512: 27a8b2b0c6c5fb36c74c091afabcdbb5c3e31bbd6cabef3dd08e184ac7bf947d992a4a285a3d84e71ac29f06069bfc345981f2b8e829e6b8e8dbb3e2ab435056
Description: Arm NN is an inference engine for CPUs, GPUs and NPUs
Description-md5: f0e1765f0b724d72e2d92a833be79578