98 lines
3.6 KiB
Markdown
98 lines
3.6 KiB
Markdown
# How to install ArmNN via our APT repository on Ubuntu's Launchpad
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* [Introduction](#introduction)
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* [Add the Ubuntu Launchpad PPA to your system](#addRepo)
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* [Outline of available packages](#availablePackages)
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* [Install desired combination of packages](#InstallPackages)
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* [Uninstall packages](#uninstallPackages)
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#### <a name="introduction">Introduction</a>
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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.
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The packages will also be added to Debian Bullseye, their progress can be tracked here: https://tracker.debian.org/pkg/armnn
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#### <a name="addRepo">Add the Ubuntu Launchpad PPA to your system</a>
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* Add the PPA to your sources using a command contained in software-properties-common package:
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```
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sudo apt install software-properties-common
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sudo add-apt-repository ppa:armnn/ppa
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sudo apt update
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```
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* More information about our PPA and the Ubuntu Launchpad service can be found at [launchpad.net](https://launchpad.net/~armnn/+archive/ubuntu/ppa)
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#### <a name="availablePackages"> Outline of available packages</a>
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We provide a number of packages for each architecture; x86_64, aarch64 and armhf:
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##### x86_64
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* Runtime Packages
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```
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libarmnn-cpuref-backend22_20.08-4_amd64.deb
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libarmnn-tfliteparser22_20.08-4_amd64.deb
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libarmnn22_20.08-4_amd64.deb
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python3-pyarmnn_20.08-4_amd64.deb
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```
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* Development Packages
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```
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libarmnn-dev_20.08-4_amd64.deb
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libarmnn-tfliteparser-dev_20.08-4_amd64.deb
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```
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##### arm64
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* Runtime Packages
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```
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libarmnn-aclcommon22_20.08-4_arm64.deb
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libarmnn-cpuacc-backend22_20.08-4_arm64.deb
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libarmnn-cpuref-backend22_20.08-4_arm64.deb
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libarmnn-gpuacc-backend22_20.08-4_arm64.deb
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libarmnn-tfliteparser22_20.08-4_arm64.deb
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libarmnn22_20.08-4_arm64.deb
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python3-pyarmnn_20.08-4_arm64.deb
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```
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* Development Packages
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```
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libarmnn-dev_20.08-4_arm64.deb
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libarmnn-tfliteparser-dev_20.08-4_arm64.deb
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```
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##### armhf
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* Runtime Packages
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```
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libarmnn-aclcommon22_20.08-4_armhf.deb
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libarmnn-cpuacc-backend22_20.08-4_armhf.deb
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libarmnn-cpuref-backend22_20.08-4_armhf.deb
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libarmnn-gpuacc-backend22_20.08-4_armhf.deb
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libarmnn-tfliteparser22_20.08-4_armhf.deb
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libarmnn22_20.08-4_armhf.deb
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python3-pyarmnn_20.08-4_armhf.deb
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```
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* Development Packages
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```
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libarmnn-dev_20.08-4_armhf.deb
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libarmnn-tfliteparser-dev_20.08-4_armhf.deb
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```
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#### <a name="InstallPackages"> Install desired combination of packages</a>
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The easiest way to install all of the available packages for your systems architecture is to run the command:
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(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.)
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```
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sudo apt-get install -y python3-pyarmnn libarmnn-cpuacc-backend22 libarmnn-gpuacc-backend22 libarmnn-cpuref-backend22
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# Verify installation via python:
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python3 -c "import pyarmnn as ann;print(ann.GetVersion())"
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# Returns '22.0.0'
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```
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This will install PyArmnn and the three backends for Neon, Compute Library and our Reference Backend.
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It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser and it's dependency ArmNN Core.
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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:
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```
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sudo apt-get install -y libarmnn-tfliteparser22 libarmnn-gpuacc-backend22
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```
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#### <a name="uninstallPackages"> Uninstall packages</a>
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The easiest way to uninstall all of the previously installed packages is to run the command:
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```
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sudo apt autoremove -y libarmnn22
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``` |