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[Announcement] ONNX working groups established
ONNX Working Groups
We are excited to announce the formation of community working groups. Working groups will bring together ONNX partners and members of the community to help steer the direction of ONNX. We have created 4 new working groups to provide guidance and feedback on the topics of Quantization, RNNs and Control Flow, Test and Compliance, and Training. If you are interested in participating in one of these working groups, please contact the group leader directly. As the project evolves we plan to announce more working groups, so if there is a topic you'd like to explore in a working group, let us know. We look forward to innovating with you in the working groups!
Leader: Ke Zhang email@example.com
Discussion: Quantization Gitter Room
The goal of the group is to enhance ONNX to support quantized data types and operators on a variety of runtimes and hardware devices.
RNNs and Control Flow
Leader: James Reed firstname.lastname@example.org
Discussion: Control Flow Gitter Room
The goal of the working group is to enable dynamic control structures including support for RNNs—beyond optimized GRU and LSTM implementations—that are used in applications such as NLP and video analysis. Through standardizing the representation of control flow operations, the group will create a common representation and push forward the flexibility and performance of models that use control flow.
Test and Compliance
Leader: Lu Fang email@example.com
Discussion: Test and Compliance Gitter Room
The Test and Compliance working group will create tools, tests and apis to provide interoperability across the ONNX ecosystem. The goal of the group is to ensure models using the .onnx format, meet and comply with the ONNX specification and that testing is in place for supported backend frameworks.
Leader: Sukwon Kim firstname.lastname@example.org
Discussion: Training Gitter Room
The goal of the group is to explore the possibility of expanding ONNX to support training as well as inference.