How to Install and Uninstall libarmnn-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 11,2024

1. Install "libarmnn-dev" package

Here is a brief guide to show you how to install libarmnn-dev on Ubuntu 21.10 (Impish Indri)


    
        
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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

This guide covers the steps necessary to uninstall libarmnn-dev on Ubuntu 21.10 (Impish Indri):


    
        
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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 21.10 (Impish Indri)

Package: libarmnn-dev
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: 356
Depends: libarmnn22 (= 20.08-9)
Filename: pool/universe/a/armnn/libarmnn-dev_20.08-9_amd64.deb
Size: 45448
MD5sum: 615c684d3aea3a06629e3e7488d24378
SHA1: ac00141c19803477d09e1a9aea7d78aa77661480
SHA256: efe8f4128dc5c76696012e102d507d858759403b7bc2263cab41644d1da0e344
SHA512: 2f465570d795e9480efc367ea3253ee08150a78d53df46ea66b86f9c450334715ebb7dd7de18326b28d495fb6d2659a8790091948aa3f49ce4d230d7e2f829a0
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