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Diffstat (limited to 'InstallationViaAptRepository.md')
| -rw-r--r-- | InstallationViaAptRepository.md | 15 |
1 files changed, 10 insertions, 5 deletions
diff --git a/InstallationViaAptRepository.md b/InstallationViaAptRepository.md index d8e9ab8be2..16837be110 100644 --- a/InstallationViaAptRepository.md +++ b/InstallationViaAptRepository.md @@ -94,7 +94,7 @@ In order to check for the latest available Arm NN version use apt-cache search: ``` apt-cache search libarmnn - # This returns a list of matching packages, the latest being libarmnn23 i.e. ARMNN_MAJOR_VERSION=23 + # This returns a list of matching packages including versions from previous releases libarmnn-cpuref-backend23 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnn-cpuref-backend24 - Arm NN is an inference engine for CPUs, GPUs and NPUs libarmnn-dev - Arm NN is an inference engine for CPUs, GPUs and NPUs @@ -103,6 +103,7 @@ In order to check for the latest available Arm NN version use apt-cache search: libarmnntfliteparser24 - 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 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 @@ -111,8 +112,8 @@ 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 allow installation using the below examples - export ARMNN_MAJOR_VERSION=24 + # Export the ARMNN_MAJOR_VERSION to the latest visible e.g. libarmnn25 to allow installation using the below examples + export ARMNN_MAJOR_VERSION=25 ``` @@ -123,7 +124,7 @@ The easiest way to install all of the available packages for your systems archit sudo apt-get install -y python3-pyarmnn libarmnn-cpuacc-backend${ARMNN_MAJOR_VERSION} libarmnn-gpuacc-backend${ARMNN_MAJOR_VERSION} libarmnn-cpuref-backend${ARMNN_MAJOR_VERSION} # Verify installation via python: python3 -c "import pyarmnn as ann;print(ann.GetVersion())" - # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 24.0.0 + # Returns '{ARMNN_MAJOR_VERSION}.0.0' e.g. 25.0.0 ``` This will install PyArmNN and the three backends for Neon, Compute Library and our Reference Backend. It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser @@ -131,7 +132,11 @@ and it's dependency Arm NN Core. If the user does not wish to use PyArmNN they can go up a level of dependencies and instead just install the Tensorflow Lite Parser: ``` - sudo apt-get install -y libarmnntfliteparser${ARMNN_MAJOR_VERSION} libarmnn-gpuacc-backend${ARMNN_MAJOR_VERSION} + # As the Tensorflow Lite Parser is now ABI stable it will have a different version to ARMNN_MAJOR_VERSION please choose latest version: + apt-cache search libarmnntfliteparser + # Returns e.g. libarmnntfliteparser24 so we then export that version, for reference this comes from include/armnnTfLiteParser/Version.hpp: + export TFLITE_PARSER_VERSION=24 + sudo apt-get install -y libarmnntfliteparser${TFLITE_PARSER_VERSION} libarmnn-cpuacc-backend${ARMNN_MAJOR_VERSION} ``` ## Uninstall packages |