Commits · 21b8fb5cb1a773d0fdc09a28203fe328c4d2b94b · OpenDAS / Fairseq

27 Feb, 2018 4 commits

Refactor incremental generation to be more explicit and less magical (#222) · 9438019f
Myle Ott authored Feb 24, 2018

9438019f
More unit test fixes · 0d90e35f
Myle Ott authored Feb 15, 2018

0d90e35f
Fix tests and flake8 · 29c82741
Myle Ott authored Feb 15, 2018

29c82741

fairseq-py goes distributed (#106) · 66415206

Myle Ott authored Feb 27, 2018

This PR includes breaking API changes to modularize fairseq-py and adds support for distributed training across multiple nodes.

Changes:
- c7033ef: add support for distributed training! See updated README for usage.
- e016299: modularize fairseq-py, adding support for register_model, register_criterion, register_optimizer, etc.
- 154e440: update LSTM implementation to use PackedSequence objects in the encoder, better following best practices and improving perf
- 90c2973 and 1da6265: improve unit test coverage

66415206

08 Nov, 2017 2 commits

Rename LabelSmoothedCrossEntropy to LabelSmoothedNLLLoss · e1f49695
Myle Ott authored Nov 07, 2017

e1f49695

Refactor model definitions · 6e4b7e22

Myle Ott authored Oct 25, 2017

* Move some functionality out of FConvModel into FairseqModel base class
* Move incremental decoding functionality into FairseqIncrementalDecoder module
* Refactor positional embeddings to be more specific to FConvModel

6e4b7e22

11 Oct, 2017 1 commit
- Fix call ordering to ATen addmm and sum (#22) · ae0c05d9
  Sam Gross authored Oct 11, 2017
  
  ae0c05d9
15 Sep, 2017 1 commit
- Initial commit · e734b0fa
  Sergey Edunov authored Sep 14, 2017
  
  e734b0fa