CHANGELOG.md

Notes on versioning

OpenNMT-tf follows semantic versioning 2.0.0. The API covers:

• command line options
• configuration files
• checkpoints
• public classes and functions that do not come from third parties
• minimum required TensorFlow version

---

[Unreleased]

Breaking changes

New features

Fixes and improvements

1.1.0 (2018-04-12)

New features

• Update the OpenNMT tokenizer to 1.3.0 and use its Python package instead of requiring a manual compilation (Linux only)
• Include a catalog of models in the library package and allow model selection with the --model_type command line option

Fixes and improvements

• Fix error when using FP16 and an AttentionMechanism module (for TensorFlow 1.5+)
• Manual export will remove default-valued attributes from the NodeDefs (for TensorFlow 1.6+)
• Silence some deprecation warnings with recent TensorFlow versions
• Training option sample_buffer_size now accepts special values:
  • 0 or null to disable shuffling
  • -1 to create a buffer with the same size as the training dataset

1.0.3 (2018-04-02)

Fixes and improvements

• Make Runner.export return the path to the export directory
• Fix and update setup.py to support pip installation

1.0.2 (2018-03-28)

Fixes and improvements

• Fix the encoder state structure when RNN encoders are combined (e.g. in SequentialEncoder)
• Fix CharConvEmbedder error on empty sequences
• Fix Adafactor crash on sparse updates, automatically fallback to dense updates instead
• Improve the Transformer decoder mask construction (up to 10% speedup during training)

1.0.1 (2018-03-14)

Fixes and improvements

• Fix undefined xrange error in utils/beam_search.py when using Python 3

1.0.0 (2018-03-14)

Initial stable release.