damccorm opened a new issue, #27628: URL: https://github.com/apache/beam/issues/27628
### What would you like to happen? Today, many users have pipelines that choose a single model for inference from 100s or 1000s of models based on properties of the data. Unfortunately, RunInference does not support this use case. We should support a new use case for RunInference that allows a single keyed RunInference transform to serve a different model for each key. See design doc here - https://docs.google.com/document/d/1kj3FyWRbJu1KhViX07Z0Gk0MU0842jhYRhI-DMhhcv4/edit?usp=sharing ### Issue Priority Priority: 2 (default / most feature requests should be filed as P2) ### Issue Components - [X] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
