Glow Roadmap

This page tracks the ongoing development of Glow. It documents the goals for upcoming development iterations, the status of some high-level tasks, and relevant information that can help people join the ongoing efforts.

Top-Level Tasks

Load additional quantized neural networks

Quantization is the process of converting neural networks that are programmed using 32-bit floating point operations to using 8-bit integer arithmetic. Glow can load quantized models in ONNX and Caffe2 format. It can also quantize existing floating point networks using Profile Guided Quantization. The goal of this top-level task is to extend the loader support to additional quantized ONNX operators.

Contact person: @beicy