Working Groups

As described in the ONNX governance, Working Groups (WGs) are temporary groups formed to address issues that cross SIG boundaries. Working Groups have a have a clear goal measured through specific deliverables and disband after the goal is achieved. Working groups do not own artifacts long term; they create specifications, recommendations, and/or code implementations for submission to the relevant SIGs for approval and acceptance.

Proposing a new working group

New Working Groups are created when there is sufficient interest in a topic area and someone volunteers to be the chair for the group and submits a proposal to the steering committee. The chair facilitates the discussion and helps synthesize proposals and decisions.

Joining a working group

Working Groups have most of their discussions on Gitter. If you are interested in participating, please join the discussion in the respective Gitter room.

You can find the schedule of meetings on the LF AI wiki

Working Groups store these artifacts, including meeting notes, in this repository. The working group leads have merge permissions on the repo but should only handle PRs related to their working group.

Active working groups

Working Group	Objectives
Training	Expand ONNX to support training as well as inference

Completed working groups

Working Group	Objectives	Status
Release	Improve and document release process, enhance release verification, identify fixes for release builds, recommend release operational guidelines in communication, frequency, scope, dependencies, and schedule	Completed - release process enhanced and documented at https://github.com/onnx/onnx/blob/master/docs/OnnxReleases.md
Control Flow and Loops	Enable dynamic control structures to enable advanced models for NLP, speech, and video/image processing	Completed - If, Loop, and Scan operators were added in ONNX 1.3 release.
Quantization	Enhance ONNX to support quantized data types and operators on a variety of runtimes and hardware devices	Completed - added in ONNX 1.5 release.
Foundation	Identify and evaluate non-profit foundation options for the ONNX consortium. Execute on best option.	Completed - ONNX joined LF AI in November 2019

Inactive working groups