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Package: libarmnn-cpuacc-backend22 (20.08-10build1)

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 dynamically loadable Neon backend package.

Other Packages Related to libarmnn-cpuacc-backend22

  • depends
  • recommends
  • suggests
  • dep: libarm-compute20 (>= 20.08+dfsg)
    Arm Compute Library
  • dep: libarmnn22 (= 20.08-10build1)
    Arm NN is an inference engine for CPUs, GPUs and NPUs
  • dep: libarmnnaclcommon22 (>= 20.08)
    Arm NN is an inference engine for CPUs, GPUs and NPUs
  • dep: libc6 (>= 2.32)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: libgcc-s1 (>= 3.0)
    GCC support library
  • dep: libstdc++6 (>= 11)
    GNU Standard C++ Library v3

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Architecture Package Size Installed Size Files
arm64 177.0 kB774 kB [list of files]