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Posted to github@beam.apache.org by "tvalentyn (via GitHub)" <gi...@apache.org> on 2023/04/12 18:17:18 UTC

[GitHub] [beam] tvalentyn commented on a diff in pull request #25839: Create Apache Beam and Model Handlers compatibility table

tvalentyn commented on code in PR #25839:
URL: https://github.com/apache/beam/pull/25839#discussion_r1164488852


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website/www/site/content/en/documentation/sdks/python-machine-learning.md:
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@@ -262,6 +262,24 @@ Use elements of the same size or resize the inputs. For computer vision applicat
 Disable batching by overriding the `batch_elements_kwargs` function in your ModelHandler and setting the maximum batch size (`max_batch_size`) to one: `max_batch_size=1`. For more information, see
 [BatchElements PTransforms](/documentation/sdks/python-machine-learning/#batchelements-ptransform). For an example, see our [language modeling example](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/inference/pytorch_language_modeling.py).
 
+## Compatible versions
+
+The following table describes how the `RunInference` Model Handlers versions are compatible with
+its dependency PyPI packages. This is determined by our testing framework,
+but other *untested* combinations may also work.
+
+| apache_beam                                                            | Tensorflow    | TFX-BSL            | PyTorch  | Scikit-learn | TensorRT             | Onnx   |
+|------------------------------------------------------------------------|---------------|--------------------|----------|--------------|----------------------|--------|
+| [GitHub master](https://github.com/apache/beam/blob/master/RELEASE.md) | \>=2.12.0     | WIP                | \>=1.9.0 | \>=1.0.0     | \>=8.5.1.7,<=8.5.3.1 | WIP    |
+| [2.46.0](https://github.com/apache/beam/tree/v2.46.0)                  | \>=2.9,<=2.11 | \>=1.10.0,<=1.12.0 | \>=1.9.0 | \>=1.0.0     | \>=8.5.1.7,<=8.5.3.1 | 1.13.0 |

Review Comment:
   add 2.47.0 ?



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