1.18.20

[1.18.20]

Changed

• Transformer parametrization flags (model size, # of attention heads, feed-forward layer size) can now optionally
  defined separately for encoder & decoder. For example, to use a different transformer model size for the encoder,
  pass --transformer-model-size 1024:512.

[1.18.19]

Added

• LHUC is now supported in transformer models

[1.18.18]

Added

• [Experimental] Introducing the image captioning module. Type of models supported: ConvNet encoder - Sockeye NMT decoders. This includes also a feature extraction script,
  an image-text iterator that loads features, training and inference pipelines and a visualization script that loads images and captions.
  See this tutorial for its usage. This module is experimental therefore its maintenance is not fully guaranteed.