On 2020-02-26 18:26 +0000, Wookey wrote: Turns out that I had misunderstood the specificity/architecture of this package. It does in fact work on all architectures, but is currently only accelerated on arm64 and armhf. Other hardware and other architectures and GPUs can be supported in the framework, but currently are not. So a revised description: 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 funtions. 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. Wookey -- Principal hats: Linaro, Debian, Wookware, ARM http://wookware.org/
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