v2.2.0-rc1

Release 2.2.0-rc1

Major Features and Improvements

• Add op for solving max-spanning-tree (MST) problems. The code here is intended for NLP applications, but attempts to remain agnostic to particular NLP tasks (such as dependency parsing).
• Add max_spanning_tree_gradient.
• Add support for 'preserve_unused_tokens' options in BertTokenizer.

Bug Fixes and Other Changes

• Documentation updates.
• Reorganize the BUILD file for keras layers.
• Update model server testing. The test script now generates a model that integrates into tf serving's testing infra.
• Remove unneeded heavy dependencies in regex_split library.
• Turn TF text's ConstrainedSequence implementations into standalone callable functions.
• Fix bug in ViterbiAnalysis computation triggered when not using transition_weights.
• Removing testing_utils run_tf_function which is enabled by default now.
• Update patch params to work with Bazel >=1.0.0
• Remove circular dependencies by removing submodule imports from ragged package.
• Prevent lack of ragged_ops.py being released in TF from breaking tf.Text

Thanks to our Contributors

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

Hyunwoo Cho