[jira] [Updated] (BEAM-13985) Implement E2E tests for RunInference classes

["Anand Inguva (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-13985?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anand Inguva updated BEAM-13985:
--------------------------------
    Summary: Implement E2E tests for RunInference classes  (was: Implement benchmark E2E tests for RunInference classes)

> Implement E2E tests for RunInference classes
> --------------------------------------------
>
>                 Key: BEAM-13985
>                 URL: https://issues.apache.org/jira/browse/BEAM-13985
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Andy Ye
>            Assignee: Anand Inguva
>            Priority: P2
>              Labels: run-inference
>
> 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. 



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