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RELEASE.md

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Version 1.13.0

Major Features and Improvements

  • RaggedTensors can now be automatically inferred for variable length features by setting represent_variable_length_as_ragged=true in TFMD schema.
  • New experimental APIs added for annotating sparse output tensors: tft.experimental.annotate_sparse_output_shape and tft.experimental.annotate_true_sparse_output.
  • DatasetKey.non_cacheable added to allow for some datasets to not produce cache. This may be useful for gradual cache generation when operating on a large rolling range of datasets.
  • Vocabularies produced by compute_and_apply_vocabulary can now store frequencies. Controlled by the store_frequency parameter.

Bug Fixes and Other Changes

  • Depends on numpy~=1.22.0.
  • Depends on tensorflow>=2.12.0,<2.13.
  • Depends on protobuf>=3.20.3,<5.
  • Depends on tensorflow-metadata>=1.13.1,<1.14.0.
  • Depends on tfx-bsl>=1.13.0,<1.14.0.
  • Modifies get_vocabulary_size_by_name to return a minimum of 1.

Breaking Changes

  • N/A

Deprecations

  • Deprecated python 3.7 support.