GitLab

Summary:
The previous BSD+PATENTS license was controversial. We have been
approved to relicense fairseq under the MIT license.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/786

Differential Revision: D16560654

Pulled By: myleott

fbshipit-source-id: f78b1beb4f2895dd7b9bfc79f5f952a2bfb94034

Summary:
Pull Request resolved: https://github.com/pytorch/fairseq/pull/747

In https://github.com/pytorch/fairseq/pull/647, checkpoint averaging
is not Implemented correctly when it comes to shared parameters. This diff
has the right Implementation and a test case to guard future change.

Reviewed By: myleott

Differential Revision: D15402943

fbshipit-source-id: 8004836d5c2571814ea54844650618008a9ee522

Changes:
- 7d19e36: Add `--sampling` flag to generate.py to sample instead of doing beam search
- c777340: Add `scripts/average_checkpoints.py` to average multiple checkpoints into a combined model
- 3ea882c: Add `--max-update` option to train.py to stop training after a given number of updates
- small bugfixes for distributed training, LSTM, inverse square root LR scheduler