[jira] [Updated] (BEAM-14068) RunInference Benchmarking tests

["Kenneth Knowles (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-14068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kenneth Knowles updated BEAM-14068:
-----------------------------------
    Status: Open  (was: Triage Needed)

> RunInference Benchmarking tests
> -------------------------------
>
>                 Key: BEAM-14068
>                 URL: https://issues.apache.org/jira/browse/BEAM-14068
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Anand Inguva
>            Assignee: Anand Inguva
>            Priority: P2
>
> 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).  



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