Paquet : libarmnn22 (20.08-9)

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Responsables :

Francis Murtagh (Page QA)
Wookey (Page QA)

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Arm NN is an inference engine for CPUs, GPUs and NPUs

Arm NN is a set of tools that enables machine learning workloads on any hardware. It provides a bridge between existing neural network frameworks and whatever hardware is available and supported. On arm architectures (arm64 and armhf) it utilizes the Arm Compute Library to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as possible. On other architectures/hardware it falls back to unoptimised functions.

This release supports Caffe, TensorFlow, TensorFlow Lite, and ONNX. Arm NN takes networks from these frameworks, translates them to the internal Arm NN format and then through the Arm Compute Library, deploys them efficiently on Cortex-A CPUs, and, if present, Mali GPUs.

This is the shared library package.

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dep: libc6 (>= 2.28)

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dep: libgcc-s1 (>= 4.2)

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dep: libstdc++6 (>= 9)

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sug: libarmnntfliteparser22 (= 20.08-9)

Arm NN is an inference engine for CPUs, GPUs and NPUs
sug: python3-pyarmnn (= 20.08-9)

PyArmNN is a python extension for the Armnn SDK

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Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
i386	843,4 ko	3 373,0 ko	[liste des fichiers]