Integrate Supported Frameworks

A framework is “supported” when there is a framework bridge that can be cloned from one of our GitHub repos and built to connect to nGraph device backends, all the while maintaining the framework’s programmatic or user interface. Bridges currently exist for the TensorFlow* and MXNet* frameworks.

JiT compiling of a computation

Just-in-Time Compiling for computation

Once connected via the bridge, the framework can then run and train a deep learning model with various workloads on various backends using nGraph Compiler as an optimizing compiler available through the framework.

MXNet* bridge

TensorFlow* bridge

See the ngraph tensorflow bridge README for how to install the DSO for the nGraph-TensorFlow bridge.