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Kamil Wasilewski commented on BEAM-9259: ---------------------------------------- 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 -- This message was sent by Atlassian Jira (v8.3.4#803005)