How to Install and Uninstall libarmnn-cpuref-backend22 Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 25,2024

1. Install "libarmnn-cpuref-backend22" package

This guide let you learn how to install libarmnn-cpuref-backend22 on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libarmnn-cpuref-backend22
            
                    
    
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2. Uninstall "libarmnn-cpuref-backend22" package

This tutorial shows how to uninstall libarmnn-cpuref-backend22 on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libarmnn-cpuref-backend22
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libarmnn-cpuref-backend22 package on Ubuntu 21.04 (Hirsute Hippo)

Package: libarmnn-cpuref-backend22
Architecture: amd64
Version: 20.08-9
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: 921
Depends: libarmnn22 (= 20.08-9), libc6 (>= 2.27), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Filename: pool/universe/a/armnn/libarmnn-cpuref-backend22_20.08-9_amd64.deb
Size: 185948
MD5sum: 90e83701299e3caf6a12fb8e6d79a5e2
SHA1: 1cdff8617f9a439532d07634e80f8e873b0cea15
SHA256: cc3efaae6a9c7c1d6db42b7f721a3fa10ef1c5d3295bdfcf3fae238a5bf14473
SHA512: b6a73c461b6ed6b40458289ebaaaf85b491f68dc43936307cc17b0a390508d3b5d799b89f6d1baf67b27dda7f288909a179ac92c4b7d9da8d987a282f5f9bd5b
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 dynamically loadable Reference backend package.
Description-md5: 8b0c76e47ad280a0fb855f75dbdf333d