1.18.85

[1.18.85]

Changed

• Disabled dynamic batching for Translator.translate() by default due to increased memory usage. The default is to
  fill-up batches to Translator.max_batch_size.
  Dynamic batching can still be enabled if fill_up_batches is set to False.

Added

• Added parameter to force training to stop after a given number of checkpoints. Useful when forced to share limited GPU resources.

[1.18.84]

Fixed

• Fixed lexical constraints bugs that broke batching and caused large drop in BLEU.
  These were introduced with sampling (1.18.64).

[1.18.83]

Changed

• The embedding size is automatically adjusted to the Transformer model size in case it is not specified on the command line.

[1.18.82]

Fixed

• Fixed type conversion in metrics file reading introduced in 1.18.79.

[1.18.81]

Fixed

• Making sure the training pickled training state contains the checkpoint decoder's BLEU score of the last checkpoint.

[1.18.80]

Fixed

• Fixed a bug introduced in 1.18.77 where blank lines in the training data resulted in failure.

[1.18.79]

Added

• Writing of the convergence/divergence status to the metrics file and guarding against numpy.histogram's errors for NaNs during divergent behaviour.