How to Install and Uninstall libarmnn19 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 03,2024

1. Install "libarmnn19" package

Please follow the instructions below to install libarmnn19 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libarmnn19
            
                    
    
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2. Uninstall "libarmnn19" package

Please follow the guidelines below to uninstall libarmnn19 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libarmnn19
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libarmnn19 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libarmnn19
Architecture: amd64
Version: 19.11.1-1
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: 3793
Depends: libboost-filesystem1.71.0, libboost-log1.71.0, libboost-thread1.71.0, libc6 (>= 2.27), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Filename: pool/universe/a/armnn/libarmnn19_19.11.1-1_amd64.deb
Size: 855060
MD5sum: 4265312835db4a28cc4db2f94be5265f
SHA1: abc4bc8f5971c69a09c411b48e3cb2ade4efdfb4
SHA256: 368b5c31ff02e2e0548cfcac03bd1138284c465722ab32c9d4ce00c1ff642f80
SHA512: 562cde5dce580f2b4870ed0d774c3be04fef9e77372d3442075e0350ae8c05fd643c4c5344d733b47836de715ae6c22c947d63fba7ab14c758587380107d496b
Description-en: Arm NN is an inference engine for CPUs, GPUs and NPUs
Arm NN is a set of tools that enables machine learning workloads on
any hardware. It provides a bridge between existing neural network
frameworks and whatever hardware is available and supported. On arm
architectures (arm64 and armhf) it utilizes the Arm Compute Library
to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as
possible. On other architectures/hardware it falls back to unoptimised
functions.
.
This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX.
Arm NN takes networks from these frameworks, translates them
to the internal Arm NN format and then through the Arm Compute Library,
deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.
.
This is the shared library package.
Description-md5: f0e1765f0b724d72e2d92a833be79578