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@broken broken released this 18 Aug 20:58
v2.6.0
02587f8

Release 2.6.0

Bug Fixes and Other Changes

  • Update __init__.py: Added a __version__ variable
  • Fixes the benchmark suite for graph mode. While using tf.function prevented caching, it was also causing the graph being tested to rebuild each time. Using placeholder instead fixes this.
  • Pin nightly version.
  • Remove TF patch as it is not needed anymore. The code is in core TF.
  • Typos
  • Format and lint NBs, add images
  • Add a couple notes to the BertTokenizer docs.
  • Narrative docs migration: TF Core -> TF Text
  • Update nmt_with_attention
  • Moved examples of a few API docs above the args sections to better match other formats.
  • Fix NBs
  • Update Installation from source instruction.
  • Add SplitterWithOffsets as an exported symbol.
  • Fix a note to the BertTokenizer docs.
  • Remove unused index.md
  • Convert tensorflow_text to use public TF if possible.
  • Fix failing notebooks.
  • Create user_ops BUILD file.
  • Remove unnecessary METADATA.
  • Replace tf.compat.v2.xxx with tf.xxx, since tf_text is using tf2 only.
  • Fix load_data function in nmt tutorial
  • Update tf.data.AUTOTUNE in Fine-tuning a BERT model
  • Switch TF to OSS keras (1/N).
  • added subspaces
  • Disable TSAN for tutorial tests that may run for >900sec when TSAN is enabled.
  • Adds a short description to the main landing page of our GitHub repo to point users to the tf.org subsite.
  • Phrasing fix to TF Transformer tutorial.
  • Disable RTTI when building Tf.Text kernels for mobile
  • Migrate the references in third_party/toolchains directory as it is going to be deleted soon.
  • Fix bug in RoundRobinTrimmer. Previously the stopping condition was merging and combining from across different batches. Instead now the stopping condition is first determined in each batch, then aggregated.
  • Set mask_token='' to make it work with TF 2.6.0
  • Builds TF Text with C++14 by default. This is already done by TensorFlow, and the TF Lite shim has C++14 features used within; thus, this is needed to build kernels against it.
  • This is a general clean up to the build files. The previous tf_deps paradigm was confusing. By encapsulating everything into a single call lib, I'm hoping this makes it easier to understand and follow.
  • Update the WORKSPACE to not use the same "workspace" name when initializing TensorFlow.

Thanks to our Contributors

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

8bitmp3, akiprasad, bongbonglemon, Jules Gagnon-Marchand, Stonepia

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