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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/04 23:31:24 UTC

[GitHub] [beam] damccorm opened a new issue, #21435: RunInference V1

damccorm opened a new issue, #21435:
URL: https://github.com/apache/beam/issues/21435

   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).
   
   Imported from Jira [BEAM-13970](https://issues.apache.org/jira/browse/BEAM-13970). Original Jira may contain additional context.
   Reported by: yeandy.


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[GitHub] [beam] damccorm commented on issue #21435: RunInference V1

Posted by GitBox <gi...@apache.org>.
damccorm commented on issue #21435:
URL: https://github.com/apache/beam/issues/21435#issuecomment-1146702829

   The following subtask(s) are associated with this issue: #21436, #21437, #21438, #21439, #21440, #21441, #21442, #21443, #21444, #21445, #21446, #21447, #21448, #21449, #21450, #21451, #21452, #21453, #21454


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