ryanthompson591 commented on code in PR #22949: URL: https://github.com/apache/beam/pull/22949#discussion_r960063125
########## website/www/site/content/en/documentation/sdks/python-machine-learning.md: ########## @@ -165,7 +165,53 @@ For detailed instructions explaining how to build and run a pipeline that uses M ## Beam Java SDK support -RunInference API is available to Beam Java SDK 2.41.0 and later through Apache Beam's [Multi-language Pipelines framework](https://beam.apache.org/documentation/programming-guide/#multi-language-pipelines). Please see [here](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java) for the Java wrapper transform to use and please see [here](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/test/java/org/apache/beam/sdk/extensions/python/transforms/RunInferenceTransformTest.java) for some example pipelines. +The RunInference API is available with the Beam Java SDK versions 2.41.0 and later through Apache Beam's [Multi-language Pipelines framework](https://beam.apache.org/documentation/programming-guide/#multi-language-pipelines). For information about the Java wrapper transform, see [RunInference.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/main/java/org/apache/beam/sdk/extensions/python/transforms/RunInference.java). For example pipelines, see [RunInferenceTransformTest.java](https://github.com/apache/beam/blob/master/sdks/java/extensions/python/src/test/java/org/apache/beam/sdk/extensions/python/transforms/RunInferenceTransformTest.java). + +## TensorFlow support + +To use TensorFlow with the RunInference API, you need to create a model handler from within `tfx_bsl`, import the required modules, and add the necessary code to your pipline. + +First, create a model handler from within `tfx_bsl`. The model handler can be keyed or unkeyed. +For more information, see [run_inference.py](https://github.com/tensorflow/tfx-bsl/blob/d1fca25e5eeaac9ef0111ec13e7634df836f36f6/tfx_bsl/public/beam/run_inference.py) in the TensorFlow GitHub repository. + +``` +tf_handler = CreateModelHandler(inference_spec_type) + +# unkeyed +beam.run_inference(tf_handler) + +# keyed +beam.run_inference(beam.ml.inference.KeyedHandler(tf_handler)) Review Comment: @tvalentyn is right, it should be KeyedModelHandler. This might be more complete (and I ran this through a colab notebook). ``` from apache_beam.ml.inference.base import RunInference from apache_beam.ml.inference.base import KeyedModelHandler tf_handler = CreateModelHandler(inference_spec_type) # unkeyed RunInference(tf_handler) # keyed RunInference(KeyedModelHandler(tf_handler)) ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
