How to Install and Uninstall libarmnn-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 22,2024

1. Install "libarmnn-dev" package

Please follow the guidelines below to install libarmnn-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libarmnn-dev
            
                    
    
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2. Uninstall "libarmnn-dev" package

Here is a brief guide to show you how to uninstall libarmnn-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libarmnn-dev
            
                    
    
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            $
        

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

Package: libarmnn-dev
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: 254
Depends: libarmnn19 (= 19.11.1-1)
Filename: pool/universe/a/armnn/libarmnn-dev_19.11.1-1_amd64.deb
Size: 30276
MD5sum: 7f7c8d5c4aeed4d76ba756d84b4288a3
SHA1: 754ac021d45af24fcf3e5a66bd2b47992a28efe1
SHA256: 294627b52a48e73fdfadd6f3fa29ea3ec26ebdc39c2e30ce09f9fc8fd236648e
SHA512: 494e5cabd1bd77865df82e62a0274ffbe9715e45586f1937da1443e5bb39cca604195c2bf97a749271d708266bccc3b7360bc4b557de2cf19fc9face33f43bf0
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 development package containing header files.
Description-md5: 3b04ad78f4735c7844f52147d4645322