How to Install and Uninstall libarmnn-cpuref-backend33 Package on Kali Linux

Last updated: December 23,2024

1. Install "libarmnn-cpuref-backend33" package

This guide covers the steps necessary to install libarmnn-cpuref-backend33 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libarmnn-cpuref-backend33
            
                    
    
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2. Uninstall "libarmnn-cpuref-backend33" package

Please follow the guidance below to uninstall libarmnn-cpuref-backend33 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libarmnn-cpuref-backend33
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libarmnn-cpuref-backend33 package on Kali Linux

Package: libarmnn-cpuref-backend33
Source: armnn
Version: 23.08-4
Installed-Size: 1838
Maintainer: Francis Murtagh
Architecture: amd64
Depends: libarmnn33 (= 23.08-4), libc6 (>= 2.32), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Size: 345528
SHA256: a4106492c231c3c090eeae712909dd52f1fc985ff24c05f38156f3d3bdbeb230
SHA1: 4d61278b575dc087101db418bb54d6edbe641256
MD5sum: 5e7468d4a1203f2b634b149a201cb92a
Description: Arm NN dynamically loadable Reference backend
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.
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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.
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This is the dynamically loadable Reference backend package.
Description-md5:
Multi-Arch: same
Section: devel
Priority: optional
Filename: pool/main/a/armnn/libarmnn-cpuref-backend33_23.08-4_amd64.deb