OpenNMT-py v1.0.1

Fixes and improvements

• Ctranslate2 conversion handled in release script (1b50e0c)
• Use attention_dropout properly in MHA (f5c9cd4)
• Update apex FP16_Optimizer path (d3e2268)
• Some REST server optimizations
• Fix and add some docs

OpenNMT-py v1.0.0

New features

• Implementation of "Jointly Learning to Align & Translate with Transformer" (@Zenglinxiao)

Fixes and improvements

• Add nbest support to REST server (@Zenglinxiao)
• Merge greedy and beam search codepaths (@Zenglinxiao)
• Fix "block ngram repeats" (@KaijuML, @pltrdy)
• Small fixes, some more docs

OpenNMT-py v1.0.0.rc1

We have now reached some good stability of the code base.

This is the 1.0.0 release candidate.

• Fix Apex / FP16 training (Apex new API is buggy)
• Multithread preprocessing way faster (Thanks François Hernandez)
• Pip Installation v1.0.0.rc1 (thanks Paul Tardy)

Enjoy and feel free to report issues.

OpenNMT-py v0.9.2

• Switch to Pytorch 1.2
• Pre/post processing on the translation server (useful for Chinese) Thanks @Zenglinxiao
• option to remove the FFN layer in AAN + AAN optimization (faster)
• Coverage loss (per Abisee paper 2017) implementation Thanks @pltrdy
• Video Captioning task: Thanks @flauted !
• Token batch at inference
• Small fixes and add-ons

OpenNMT-py v0.9.1

• New mechanism for MultiGPU training "1 batch producer / multi batch consumers"
  resulting in big memory saving when handling huge datasets
  thanks @pltrdy @francoishernandez

• New APEX AMP (mixed precision) API
  thanks @francoishernandez
  NB: you need to resintall Nvidia/Apex

• Option to overwrite shards when preprocessing

• Small fixes and add-ons

OpenNMT-py v0.9.0

Updated Travis to Pytorch 1.1

• Faster vocab building when processing shards (no reloading) thanks @francoishernandez

• New dataweighting feature thanks @francoishernandez
  see the FAQ doc for more information

• New dropout scheduler. Same logic as accum_count / accum_steps
  see opts.py

• fix Gold Scores

• small fixes and add-ons.

Unrelated, but new website online ! thanks @guillaumekln

Enjoy !

OpenNMT-py v0.8.2

• Update documentation and Library example (thanks @flauted @elisemicho )
• Revamp args
• Bug fixes, save moving average in FP32 (thanks @francoishernandez )
• Allow FP32 inference for FP16 models

OpenNMT-py v0.8.1

Mostly bug fixes.

OpenNMT-py v0.8.0

Many fixes and code cleaning thanks @flauted, @guillaumekln

Datasets code refactor (thanks @flauted) you need to re-preprocess datasets

New features
FP16 Support: Experimental, using Apex, Checkpoints may break in future version.
Continuous exponential moving average (thanks @francoishernandez, and Marian)
Relative positions encoding (thanks @francoishernandez, and Google T2T)
Deprecate the old beam search, fast batched beam search supports all options

OpenNMT-py v0.7.2

Multi level text fields for better handling of embeddings. thanks @flauted

code cleaning and bug fixing thanks @bpopeters @guillaumekln @pltrdy

NB: you cannot train on 0.7.2 with preprocessed data on a prior version, you need to re-preprocess.