套件:libarmnn-cpuref-backend33(23.08-4.1 以及其他的)
Arm NN dynamically loadable Reference backend
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 Reference backend package.
其他與 libarmnn-cpuref-backend33 有關的套件
|
|
|
|
-
- dep: libarmnn33t64 (= 23.08-4.1+b1)
- Inference engine for CPUs, GPUs and NPUs - shared library
-
- dep: libarmnnaclcommon33t64 (= 23.08-4.1+b1)
- Arm NN shared library for Arm Compute Library backends
-
- dep: libc6 (>= 2.32)
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
-
- dep: libgcc-s1 (>= 3.5)
- GCC 支援函式庫
-
- dep: libstdc++6 (>= 13.1)
- GNU Standard C++ Library v3