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https://issues.apache.org/jira/browse/BEAM-9259?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17045558#comment-17045558
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Kamil Wasilewski commented on BEAM-9259:
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The first ([1]) described solution has been chosen, which does not require any
contributions on Beam's side, so I'm closing the issue.
> [Python] PTransform that integrates Cloud AI Prediction functionality
> ---------------------------------------------------------------------
>
> Key: BEAM-9259
> URL: https://issues.apache.org/jira/browse/BEAM-9259
> Project: Beam
> Issue Type: Sub-task
> Components: io-py-gcp
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
>
> The goal is to create a PTransform that integrates Google Cloud AI Platform
> Prediction functionality [1]. The transform should work both in batch and
> streaming mode.
> One of the solutions could be using a tfx_bsl library and its
> `RunInference()` Beam transform[2] that can do inference by using a service
> endpoint.
> [1] https://cloud.google.com/ai-platform/prediction/docs/
> [2]
> https://github.com/tensorflow/tfx-bsl/blob/a9f5b6128309595570cc6212f8076e7a20063ac2/tfx_bsl/beam/run_inference.py#L78
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