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How to install ArmNN via our APT repository on Ubuntu's Launchpad

Introduction

These are the step by step instructions on how to install the ArmNN core, TensorflowLite Parser as well as PyArmnn for x86_64, Arm64 and Armhf for Ubuntu 20.04. The packages will also be added to Debian Bullseye, their progress can be tracked here: https://tracker.debian.org/pkg/armnn

Add the Ubuntu Launchpad PPA to your system

  • Add the PPA to your sources using a command contained in software-properties-common package: 
    sudo apt install software-properties-common
sudo add-apt-repository ppa:armnn/ppa
sudo apt update
  • More information about our PPA and the Ubuntu Launchpad service can be found at launchpad.net

Outline of available packages

We provide a number of packages for each architecture; x86_64, aarch64 and armhf:

x86_64
  • Runtime Packages
libarmnn-cpuref-backend22_20.08-4_amd64.deb
libarmnn-tfliteparser22_20.08-4_amd64.deb
libarmnn22_20.08-4_amd64.deb
python3-pyarmnn_20.08-4_amd64.deb
  • Development Packages
libarmnn-dev_20.08-4_amd64.deb
libarmnn-tfliteparser-dev_20.08-4_amd64.deb
arm64
  • Runtime Packages
libarmnn-aclcommon22_20.08-4_arm64.deb
libarmnn-cpuacc-backend22_20.08-4_arm64.deb
libarmnn-cpuref-backend22_20.08-4_arm64.deb
libarmnn-gpuacc-backend22_20.08-4_arm64.deb
libarmnn-tfliteparser22_20.08-4_arm64.deb
libarmnn22_20.08-4_arm64.deb
python3-pyarmnn_20.08-4_arm64.deb
  • Development Packages
libarmnn-dev_20.08-4_arm64.deb
libarmnn-tfliteparser-dev_20.08-4_arm64.deb
armhf
  • Runtime Packages
libarmnn-aclcommon22_20.08-4_armhf.deb
libarmnn-cpuacc-backend22_20.08-4_armhf.deb
libarmnn-cpuref-backend22_20.08-4_armhf.deb
libarmnn-gpuacc-backend22_20.08-4_armhf.deb
libarmnn-tfliteparser22_20.08-4_armhf.deb
libarmnn22_20.08-4_armhf.deb
python3-pyarmnn_20.08-4_armhf.deb
  • Development Packages
libarmnn-dev_20.08-4_armhf.deb
libarmnn-tfliteparser-dev_20.08-4_armhf.deb

Install desired combination of packages

The easiest way to install all of the available packages for your systems architecture is to run the command:

(Please Note: libarmnn-cpuacc-backend has been built with NEON support, installing this backend on an armhf device not supporting NEON may cause a crash/undefined behaviour.)

 sudo apt-get install -y python3-pyarmnn libarmnn-cpuacc-backend22 libarmnn-gpuacc-backend22 libarmnn-cpuref-backend22
 # Verify installation via python:
 python3 -c "import pyarmnn as ann;print(ann.GetVersion())" 
 # Returns '22.0.0'

This will install PyArmnn and the three backends for Neon, Compute Library and our Reference Backend. It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser and it's dependency ArmNN Core. If the user does not wish to use PyArmnn they can go up a level of dependencies and instead just install the Tensorflow Lite Parser:

  sudo apt-get install -y libarmnn-tfliteparser22 libarmnn-gpuacc-backend22

Uninstall packages

The easiest way to uninstall all of the previously installed packages is to run the command:

 sudo apt autoremove -y libarmnn22