Skip to content

Latest commit

 

History

History
51 lines (38 loc) · 1.86 KB

RELEASE.md

File metadata and controls

51 lines (38 loc) · 1.86 KB
Raw

Version 0.28.0

Major Features and Improvements

  • Publically released TFX docker image in tensorflow/tfx will use GPU compatible based TensorFlow images from Deep Learning Containers. This allow these images to be used with GPU out of box.
  • Added an example pipeline for a ranking model (using tensorflow_ranking) at tfx/examples/ranking. More documentation will be available in future releases.
  • Added a spans_resolver that can resolve spans based on range_config.

Breaking Changes

For Pipeline Authors

  • Custom arg key in google_cloud_ai_platform.tuner.executor is renamed to ai_platform_tuning_args from ai_platform_training_args, to better distinguish usage with Trainer.

For component authors

  • N/A

Deprecations

  • Deprecated input/output compatibility aliases for Transform and SchemaGen.

Bug Fixes and Other Changes

  • Change Bigquery ML Pusher to publish the model to the user specified project instead of the default project from run time context.
  • Depends on apache-beam[gcp]>=2.28,<3.
  • Depends on ml-metadata>=0.28.0,<0.29.0.
  • Depends on kfp-pipeline-spec>=0.1.6,<0.2.
  • Depends on struct2tensor>=0.28.0,<0.29.0.
  • Depends on tensorflow-data-validation>=0.28.0,<0.29.0.
  • Depends on tensorflow-model-analysis>=0.28.0,<0.29.0.
  • Depends on tensorflow-transform>=0.28.0,<0.29.0.
  • Depends on tfx-bsl>=0.28.1,<0.29.0.

Documentation Updates