damccorm opened a new issue, #21454: URL: https://github.com/apache/beam/issues/21454
RunInference benchmarks will evaluate performance of Pipelines, which represent common use cases of Beam **** Dataflow in Pytorch, sklearn and possibly TFX. These benchmarks would be the integration tests that exercise several software components using Beam, PyTorch, Scikit learn and TensorFlow extended. we would use the datasets that's available publicly (Eg; Kaggle). Size: small / 10 GB / 1 TB etc The default execution runner would be Dataflow unless specified otherwise. These tests would be run very less frequently(every release cycle). Imported from Jira [BEAM-14068](https://issues.apache.org/jira/browse/BEAM-14068). Original Jira may contain additional context. Reported by: Anand Inguva. Subtask of issue #21435 -- 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]
