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TFX 1.8.0
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@rtg0795 rtg0795 released this 25 May 23:32
· 9 commits to r1.8.0 since this release
v1.8.0
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Major Features and Improvements

  • Added experimental exit_handler support for KubeflowDagRunner.
  • Enabled custom labels to be submitted to CAIP training jobs.
  • Enabled custom Python function-based components to share pipeline Beam
    configuration by [inheriting from BaseBeamComponent]
    (https://www.tensorflow.org/tfx/guide/custom_function_component)

Breaking Changes

For Pipeline Authors

  • N/A

For Component Authors

  • N/A

Deprecations

  • N/A

Bug Fixes and Other Changes

  • LatestBlessedModelStrategy gracefully handles the case where there are no
    blessed model at all (e.g. first run).
  • Fix that the resolver with custom ResolverStrategy (assume correctly
    packaged) fails.
  • Fixed ElwcBigQueryExampleGen data serializiation error that was causing an
    assertion failure on Beam.
  • Added dark mode styling support for InteractiveContext notebook formatters.
  • (Python 3.9+) Supports list and dict in type definition of execution
    properties.
  • Populate Artifact proto name field when name is set on the Artifact python
    object.
  • Temporarily capped apache-airflow version to 2.2.x to avoid dependency
    conflict. We will rollback this change once kfp releases a new version.
  • Fixed a compatibility issue with apache-airflow 2.3.0 that is failing with
    "unexpected keyword argument 'default_args'".
  • StatisticsGen will raise an error if unsupported StatsOptions (i.e.,
    generators or experimental_slice_functions) are passed.

Dependency Updates

Package Name Version Constraints Previously (in v1.7.0) Comments
apache-beam[gcp] >=2.38,<3 >=2.36,<3 Synced release train

Documentation Updates

  • N/A
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