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