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package:lib-tflite-cmake (v3.0.0)
Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2020-09-01
Source: GitHub
cID: 1dc07ee0f4742028:6789af0488472fb5

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Description  

This meta package is our attempt to provide a unified Python API, CLI and JSON meta description for different package managers and building tools to automatically download and install different components (models, data sets, libraries, frameworks, tools) necessary to run portable program pipelines across evolving platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!

Dependencies    

ReadMe  

TensorFlow Lite package

This package builds TensorFlow Lite (TFLite) using CMake from fixed revisions from master (internally tagged v2.3.90, v2.3.91, etc).

Version Revision
v2.3.90 5c1c1085fe331de3
v2.3.91 8a643858ce174b8b

Installation

Build TFLite with one of the supported backends:

$ ck install package --tags=lib,tflite,v2.3.90,with.eigen
$ ck install package --tags=lib,tflite,v2.3.90,with.ruy
$ ck install package --tags=lib,tflite,v2.3.90,with.xnnpack
$ ck install package --tags=lib,tflite,v2.3.90,with.xnnpack,with.ruy

NB: Optionally, to restrict the number of CPU cores used to build, append --env.CK_HOST_CPU_NUMBER_OF_PROCESSORS=X to the command (where X is the number of cores to use).

NB: When building on Raspberry Pi 4 with 32-bit Debian, additionally specify rpi4 e.g.:

$ ck install package --tags=lib,tflite,v2.3.91,with.ruy,rpi4 --env.CK_HOST_CPU_NUMBER_OF_PROCESSORS=3

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