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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/04 23:33:13 UTC
[GitHub] [beam] damccorm opened a new issue, #21454: RunInference Benchmarking tests
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
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[GitHub] [beam] damccorm commented on issue #21454: RunInference Benchmarking tests
Posted by GitBox <gi...@apache.org>.
damccorm commented on issue #21454:
URL: https://github.com/apache/beam/issues/21454#issuecomment-1146702827
Unable to assign user @AnandInguva. If able, self-assign, otherwise tag @damccorm so that he can assign you. Because of GitHub's spam prevention system, your activity is required to enable assignment in this repo.
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