How to Install and Uninstall libarmnntfliteparser24 Package on Kali Linux

Last updated: November 23,2024

1. Install "libarmnntfliteparser24" package

This is a short guide on how to install libarmnntfliteparser24 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libarmnntfliteparser24
            
                    
    
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2. Uninstall "libarmnntfliteparser24" package

This tutorial shows how to uninstall libarmnntfliteparser24 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libarmnntfliteparser24
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libarmnntfliteparser24 package on Kali Linux

Package: libarmnntfliteparser24
Source: armnn
Version: 23.08-4
Installed-Size: 488
Maintainer: Francis Murtagh
Architecture: amd64
Depends: libarmnn33 (= 23.08-4), libc6 (>= 2.33), libflatbuffers2 (>= 2.0.8+dfsg1), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1)
Size: 153940
SHA256: bd3a20bd25f1b7802f0a96e7ef1df88b41b367cfac0ffe4e06ad344397e35fc1
SHA1: b00e46446971aafb699979721608927be4eb922a
MD5sum: bc35e02b183caf5746c13cbb28df3c7d
Description: Arm NN TensorFlow Lite parser 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/libarmnntfliteparser24_23.08-4_amd64.deb