From ba65a6d120cbd049275ddfa1c3906208f613cdb6 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 9 Aug 2022 15:16:46 +0100 Subject: Fixing documents for 22.08 * Fixed broken links * Updated link to bazel guide * Fixed versioning issues in packaging doc * Updated paths to binary files Signed-off-by: Nikhil Raj Change-Id: I6120bb2dd56d55a994cd12d99bed054ce4d7c058 --- InstallationViaAptRepository.md | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) (limited to 'InstallationViaAptRepository.md') diff --git a/InstallationViaAptRepository.md b/InstallationViaAptRepository.md index dbdd0c2028..3fa36f62a7 100644 --- a/InstallationViaAptRepository.md +++ b/InstallationViaAptRepository.md @@ -3,11 +3,11 @@ * [Introduction](#introduction) * [Add the Ubuntu Launchpad PPA to your system](#add-the-ubuntu-launchpad-ppa-to-your-system) * [Outline of available packages](#outline-of-available-packages) - + [x86_64](#x86-64) + + [x86_64](#x86_64) + [arm64](#arm64) + [armhf](#armhf) -* [Check latest version of packages](#check-latest-version-of-packages) * [Install desired combination of packages](#install-desired-combination-of-packages) +* [Installation of specific ABI versioned packages](#installation-of-specific-abi-versioned-packages) * [Uninstall packages](#uninstall-packages) @@ -117,7 +117,7 @@ The easiest way to install all of the available packages for your systems archit sudo apt-get install -y python3-pyarmnn armnn-latest-all # Verify installation via python: python3 -c "import pyarmnn as ann;print(ann.GetVersion())" - # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 27.0.0 + # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 30.0.0 ``` This will install PyArmNN and the three backends for Neon (CpuAcc), OpenCL (GpuAcc) and our Reference Backend. It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser @@ -156,9 +156,11 @@ In order to check for the latest available Arm NN version use apt-cache search: libarmnntfliteparser-dev - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions libarmnn-tfliteparser23 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnntfliteparser24 - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions + libarmnntfliteparser24.5 - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions libarmnn23 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnn24 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnn25 - Arm NN is an inference engine for CPUs, GPUs and NPUs + libarmnn30 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnn-aclcommon23 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnnaclcommon24 - Arm NN is an inference engine for CPUs, GPUs and NPUs # Note: removal of dash to suit debian naming conventions libarmnn-cpuacc-backend23 - Arm NN is an inference engine for CPUs, GPUs and NPUs @@ -167,13 +169,13 @@ In order to check for the latest available Arm NN version use apt-cache search: libarmnn-gpuacc-backend24 - Arm NN is an inference engine for CPUs, GPUs and NPUs - # Export the ARMNN_MAJOR_VERSION to the latest visible e.g. libarmnn25 to allow installation using the below examples - export ARMNN_MAJOR_VERSION=27 + # Export the ARMNN_MAJOR_VERSION to the latest visible e.g. libarmnn30 to allow installation using the below examples + export ARMNN_MAJOR_VERSION=30 # As the Tensorflow Lite Parser is now ABI stable it will have a different version to ARMNN_MAJOR_VERSION please choose latest version: apt-cache search libarmnntfliteparser - # Returns e.g. libarmnntfliteparser24 so we then export that version, for reference this comes from include/armnnTfLiteParser/Version.hpp: - export TFLITE_PARSER_VERSION=24 + # Returns e.g. libarmnntfliteparser24.5 so we then export that version, for reference this comes from include/armnnTfLiteParser/Version.hpp: + export TFLITE_PARSER_VERSION=24.5 sudo apt-get install -y libarmnntfliteparser${TFLITE_PARSER_VERSION} libarmnn-cpuacc-backend${ARMNN_MAJOR_VERSION} ``` -- cgit v1.2.1