How to Install and Uninstall libarmnn33 Package on Kali Linux

Last updated: December 24,2024

1. Install "libarmnn33" package

Learn how to install libarmnn33 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libarmnn33
            
                    
    
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2. Uninstall "libarmnn33" package

This guide covers the steps necessary to uninstall libarmnn33 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libarmnn33
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libarmnn33 package on Kali Linux

Package: libarmnn33
Source: armnn
Version: 23.08-4
Installed-Size: 4632
Maintainer: Francis Murtagh
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Suggests: libarmnntfliteparser24 (= 23.08-4), python3-pyarmnn (= 23.08-4)
Size: 1062596
SHA256: f305ae7f38c67a828655aca9424b928c70233fe696c9d68cd165ca3dae646841
SHA1: 5e725b387e9a1ee70d1309d94c0117bb576d2bf0
MD5sum: 31b1d751bf09d11c9efe5a433ce5cde9
Description: Inference engine for CPUs, GPUs and NPUs - shared library
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 shared library package.
Description-md5:
Multi-Arch: same
Section: devel
Priority: optional
Filename: pool/main/a/armnn/libarmnn33_23.08-4_amd64.deb