GitLab

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/927

Differential Revision: D18691521

Pulled By: myleott

fbshipit-source-id: a79cb0a7614a30be765e741761819263d9fb5047

Summary:
Add links to pre-trained cuda models in pay less attention
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/828

Reviewed By: michaelauli

Differential Revision: D16833577

Pulled By: nng555

fbshipit-source-id: 1556aa77fd87ea259812de8ef65963257c370f9b

Summary:
CUDA code for light/dynamicconv kernels, including pytorch modules. Modules can be built by running setup.py in each respective folder, and can then be imported and used like any other module.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/547

Reviewed By: myleott, shubho

Differential Revision: D15703660

Pulled By: nng555

fbshipit-source-id: e9c913753be3a1cd571965f7200df6678b644520

Summary:
Resolves #768
Pull Request resolved: https://github.com/pytorch/fairseq/pull/769

Differential Revision: D15621841

Pulled By: lematt1991

fbshipit-source-id: 694effe3788ff7d04864217d673608ec31da589e

Summary:
- fairseq can now be installed via pip: `pip install fairseq`
- command-line tools are globally accessible: `fairseq-preprocess`, `fairseq-train`, `fairseq-generate`, etc.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/495

Differential Revision: D14017761

Pulled By: myleott

fbshipit-source-id: 10c9f6634a3056074eac2f33324b4f1f404d4235

Summary:
Changelog:
- `e330f56`: Add code for the "Pay Less Attention with Lightweight and Dynamic Convolutions" paper
- `5e3b98c`: Add scripts for computing tokenized BLEU with compound splitting and sacrebleu
- update READMEs
- misc fixes
Pull Request resolved: https://github.com/pytorch/fairseq/pull/473

Differential Revision: D13819717

Pulled By: myleott

fbshipit-source-id: f2dc12ea89a436b950cafec3593ed1b04af808e9