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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2022/04/02 16:59:00 UTC

[jira] [Updated] (BEAM-13970) RunInference V1

     [ https://issues.apache.org/jira/browse/BEAM-13970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Beam JIRA Bot updated BEAM-13970:
---------------------------------
    Labels: run-inference stale-assigned  (was: run-inference)

> RunInference V1
> ---------------
>
>                 Key: BEAM-13970
>                 URL: https://issues.apache.org/jira/browse/BEAM-13970
>             Project: Beam
>          Issue Type: New Feature
>          Components: sdk-py-core
>            Reporter: Andy Ye
>            Assignee: Andy Ye
>            Priority: P2
>              Labels: run-inference, stale-assigned
>
> Users of machine learning frameworks must currently implement their own transforms for running ML inferences. The exception is the TensorFlow [RunInference transform|https://github.com/tensorflow/tfx-bsl/blob/master/tfx_bsl/beam/run_inference.py]. However, this is hosted in its own [repo|https://github.com/tensorflow/tfx-bsl], and has an [API|https://www.tensorflow.org/tfx/tfx_bsl/api_docs/python/tfx_bsl/public/beam/RunInference] that is exclusively geared towards the TensorFlow TFX library. Our goal is to add new implementations of RunInference for the two other popular machine learning frameworks: scikit-learn and Pytorch.
> Please see main design document [here|https://s.apache.org/inference-sklearn-pytorch].



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