Kamil Wasilewski created BEAM-9259:
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Summary: [Python] PTransform that integrates Cloud AI Prediction
functionality
Key: BEAM-9259
URL: https://issues.apache.org/jira/browse/BEAM-9259
Project: Beam
Issue Type: Bug
Components: io-py-gcp
Reporter: Kamil Wasilewski
Assignee: Kamil Wasilewski
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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