Runtime Layered Architecture
Here is a figure of runtime layered architecture.
There are three parts - Frontend, Core and Backend. Core works with Frontend and Backend API. Frontend gets user inputs(neural networks models) and Backend does the actual computation.
Frontend API
Frontend API is about from creation/loading the model and
Runtime supports two (frontend) APIs - NN API and NNFW API.
NN API
NN API stands for Android Neural Networks API. It is part of Android Open Source Project and we provide a binding between NN API and One Runtime.
For usage, refer to Howto : NN API.
NNFW API
NNFW API is ONE's own API. It supports loading models from NN Packages. As it is our own API, It can do most of functionalities that One Runtime offers. Representatively, it provides functions for execution with multiple backends.
For usage, refer to Howto : NNFW API.
Backend API
Backend API enables anyone to extend the runtime in terms of operation computation and memory management.
For detailed descriptions, refer to Backend API.
