v2.11.0

Release 2.11.0

Major Features and Improvements

• Added op for converting to/from BOISE labels to offsets

Bug Fixes and Other Changes

• tensorflow:
  • Moving logging.h and bitmap from tf/core to tf/tsl.
• BOISE TF op:
  • Add main C++ functions for converting to/from BOISE labels to offsets
  • Add main C++ functions for converting to/from BOISE labels to offsets
  • Add kernel code and Python API for OffsetsToBoiseTags op
• Other:
  • Add link to KPLs, fix typo in Neural machine translation with attention tutorial
  • Update README.md
  • Publish the tensorflow_models.nlp guide docs to tensorflow.org
  • Add missing dependency to constrained sequence kernel.
  • Add missing absl status dependency to sentence breaking utils.
  • Another missing absl status dependency. this time for sentence fragmenter.
  • Add absl status to sentence fragmenter v2.
  • Update pybind11 to 2.10.0 to match tensorflow.
  • Better error message for WordPiece when the vocabulary file has unicode issues.
  • Update Transformer tutorial with Keras MultiHeadAttention
  • transformers.ipynb: fix length filter and target slicing
  • transformers.ipynb: cleanup wording, create a PositionalEmbedding layer.
  • Replace tensorflow::Status::OK() with tensorflow::OkStatus().
  • Update README with note about various OS releases.
  • Cast the step type.
  • Reactivate TFLite ByteSplitter test.
  • Modify tokenizer to process pt_examples to tokenizers.pt
  • fix words alignment in documentation
  • Update nmt_with_attention:
  • transformers.ipynb: Factor out CrossAttention, GlobalSelfAttention, and CausalSelfAttention layers.
  • Switch the transformer to train with Model.fit.
  • Whitespace changes to force republish.
  • Fix tutorial display, again.
  • Update version

Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

satojkovic