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Package: libarmnnaclcommon33t64 (23.08-5)

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Arm NN shared library for Arm Compute Library backends

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 common shared library used by Arm Compute Library backends.

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Download for all available architectures
Architecture Package Size Installed Size Files
arm64 26.9 kB154.0 kB [list of files]
armhf 24.6 kB89.0 kB [list of files]