GitLab

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/815

Differential Revision: D16733633

fbshipit-source-id: 0a5029e41b6dbb9fb28e9703ad057d939d489d90

Summary:
Allow shell script to create sub directories with -p flag. Amends readme file too.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/997

Differential Revision: D16710813

Pulled By: myleott

fbshipit-source-id: 89abefa27e8fac99d212fc9b7b0dbc3690043ba0

Summary:
Initial code for speech recognition task.
Right now only one ASR model added - https://arxiv.org/abs/1904.11660

unit test testing:
python -m unittest discover tests

also run model training with this code and obtained
5.0 test_clean | 13.4 test_other
on librispeech with pytorch/audio features
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/810

Reviewed By: cpuhrsch

Differential Revision: D16706659

Pulled By: okhonko

fbshipit-source-id: 89a5f9883e50bc0e548234287aa0ea73f7402514

Summary:
1) This currently works only for single `<mask>` token as multi mask, we might have to look more into order of factorization.
2) This is currently only for single BPE token
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/807

Differential Revision: D16674509

fbshipit-source-id: 0a020030ee5df6a5115e5f85d5a9ef52b1ad9e1c

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/805

Differential Revision: D16670825

Pulled By: myleott

fbshipit-source-id: 872a1a0274681a34d54bda00bfcfcda2e94144c6

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/806

Differential Revision: D16649933

fbshipit-source-id: 6eeda6e2caf8019228e3efc0c27ddfcc3c4d8674

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/795

Differential Revision: D16620488

Pulled By: myleott

fbshipit-source-id: 1998a9ccd8816fc7f590861fb4898f910a36bc1e

Summary:
fix links to .tar.gz vs .tar.bz2
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/796

Reviewed By: myleott

Differential Revision: D16611740

Pulled By: nng555

fbshipit-source-id: 76210484225ed917ff14ef626845680d918948f5

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/793

Differential Revision: D16603930

Pulled By: myleott

fbshipit-source-id: b302db3743db4f36c14fb0dc7f3456fe8a0079dd

Summary:
Fixing booktitle in wmt19 citation
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/791

Reviewed By: myleott

Differential Revision: D16589372

Pulled By: nng555

fbshipit-source-id: 28402784bb6ef0615e46b8d8383bfa52d79e46de

Summary:
Added readme for IMDB classification as tutorial for custm finetuning of roberta
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/790

Reviewed By: myleott

Differential Revision: D16587877

Pulled By: myleott

fbshipit-source-id: ed265b7254e6fa2fc8a899ba04c0d2bb45a7f5c4

Summary:
Adding a backslash in the convolutional language model training usage.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/941

Differential Revision: D16581388

Pulled By: myleott

fbshipit-source-id: 7e2e05ecf13e86cb844dc5200d49f560c63b12ff

Summary:
Just a small fix for issue https://github.com/pytorch/fairseq/issues/936 .
Pull Request resolved: https://github.com/pytorch/fairseq/pull/937

Differential Revision: D16580263

Pulled By: myleott

fbshipit-source-id: 1777e782491c63697726e95bd555892da3fed4ec

Summary:
Release of the WMT 19 pretrained models
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/767

Reviewed By: edunov

Differential Revision: D16472717

Pulled By: nng555

fbshipit-source-id: acf0fa3548c33f2bf2b5f71e551c782ad8c31a42

Summary:
Fixes https://github.com/pytorch/fairseq/issues/930.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/931

Differential Revision: D16562511

Pulled By: myleott

fbshipit-source-id: c4c07e2f067326b79daa547dcb3db84aeddbd555

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:
1) Added glue data pre-processing script.
2) updated README with usage.

TODO:
1) releasing fairseq dictionary and remove hardcoded path.
2) remove hard-coded path for bpe-encoding,

myleott what do you recommend for above TODOs?
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/771

Reviewed By: myleott

Differential Revision: D16547679

Pulled By: myleott

fbshipit-source-id: 6a6562d9b6215523d048fdf3daee63ffac21e231

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/921

Differential Revision: D16541025

Pulled By: myleott

fbshipit-source-id: bb78d30fe285da2adfc7c4e5897ee01fa413b2e4

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/916

Differential Revision: D16537774

Pulled By: myleott

fbshipit-source-id: 86bb7b1913a428ee4a21674cc3fc7b39264067ec

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/909

Differential Revision: D16532919

Pulled By: myleott

fbshipit-source-id: 16ce884cf3d84579026e4406a75ba3c01a128dbd

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/778

Differential Revision: D16525447

Pulled By: myleott

fbshipit-source-id: e721e3a10e243a2408a04f89f06b5adbbe2fdff2

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/770

Differential Revision: D16491911

Pulled By: myleott

fbshipit-source-id: 8dd2b76f8fa24183640ae9d1129ea47ded77d43d

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/899

Differential Revision: D16448602

Pulled By: myleott

fbshipit-source-id: afd1a1b713274b6328150cd85d7f8a81833597aa

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/740

Differential Revision: D16377797

Pulled By: myleott

fbshipit-source-id: f7d6c8b00a77e279ea94376b1f0fcd15087eaf5f

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/734

Differential Revision: D16377044

Pulled By: myleott

fbshipit-source-id: 37d5553d76aa7c653113fec089f59710281c31d7

Summary:
In https://github.com/pytorch/fairseq/issues/656, people are often confused about how to set multilingual translation parameters at inference time.

This diff add more checks to ensure the arguments (`--lang-pairs`, `--encoder-langtok`, `--decoder-langtok`) load from checkpoint are consistent with arguments specified in generate/interactive command line.
We also add a section in example page to explain how to set the arguments

Reviewed By: myleott

Differential Revision: D15682169

fbshipit-source-id: 64e6db94cd72ea7ce2d0aa1067c9c2dcd3b8a2ac

Summary:
Merging wav2vec to master. Includes renames (Cpc -> wav2vec) and some light example files.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/654

Differential Revision: D15913409

Pulled By: alexeib

fbshipit-source-id: f723e6f211706cd9431c7d76dc12c4e80c9cfc80

Summary:
It's so much faster to extract (3 minutes instead of 20).
Pull Request resolved: https://github.com/pytorch/fairseq/pull/803

Differential Revision: D15795810

Pulled By: myleott

fbshipit-source-id: 3b2ae8bd7924a77ac8e795f5e1a7da0c4ae27374

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/793

Differential Revision: D15758755

Pulled By: myleott

fbshipit-source-id: b93e4ac11bde36a0b59b4d6d1c84d31c3124d767

Summary:
Resolves #762
Pull Request resolved: https://github.com/pytorch/fairseq/pull/776

Differential Revision: D15631503

Pulled By: lematt1991

fbshipit-source-id: 103f77d553476917b8b0f8001767217fb311d920

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

Differential Revision: D15621841

Pulled By: lematt1991

fbshipit-source-id: 694effe3788ff7d04864217d673608ec31da589e

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/624

Differential Revision: D15595746

Pulled By: myleott

fbshipit-source-id: b79e489de9ff37ee7cbf939092a6e5ec0dbebbf5

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/619

Differential Revision: D15562983

Pulled By: myleott

fbshipit-source-id: 9240f56f18c87120b7d38e0db374d24a55999395

Summary:
- Add --add-bos-token option to LM task
- Cleanup utils.py and options.py
Pull Request resolved: https://github.com/pytorch/fairseq/pull/654

Differential Revision: D15041794

Pulled By: myleott

fbshipit-source-id: 3ad00007769d5f48308052cfd40de39c5ffa1a6e

Summary:
Add missing backslash.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/679

Differential Revision: D15122270

Pulled By: myleott

fbshipit-source-id: fbdfde648051294eaa9f7a4e0c4cfbc57491a718

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/676

Differential Revision: D15114128

Pulled By: myleott

fbshipit-source-id: b11dde77b2f2610d33649101aea03fb5a3eeb56a

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/665

Differential Revision: D15077853

Pulled By: huihuifan

fbshipit-source-id: 2a0d3f6236ae002579f1ee72735d6d8000b8e6b6

Summary:
Pull Request resolved: https://github.com/pytorch/fairseq/pull/635

Adding a task and relevant models, datasets and criteria needed for training Cross-lingual Language Models similar to Masked Language Model used in XLM (Lample and Conneau, 2019 - https://arxiv.org/abs/1901.07291).

Reviewed By: liezl200

Differential Revision: D14943776

fbshipit-source-id: 3e416a730303d1dd4f5b92550c78db989be27073

Summary:
Hi,

currently, the link to the language model readme is broken on the `examples/language_model/transformer_lm` page.

This PR fixes the link :)
Pull Request resolved: https://github.com/pytorch/fairseq/pull/600

Differential Revision: D14680985

Pulled By: myleott

fbshipit-source-id: 62291efbf4ece2af54fae45c408c2759863f9847

Summary:
Changelog:
- 998ba4f: Add language models from Baevski & Auli (2018)
- 4294c4f6: Add mixture of experts code from Shen et al. (2019)
- 00493490: Add example for multilingual training
- 48d9afbe: Speed improvements, including fused operators from apex
- 44d27e64: Add Tensorboard support
- d17fa851: Add Adadelta optimizer
- 9e1c880f: Add `FairseqEncoderModel`
- b65c579b: Add `FairseqTask.inference_step` to modularize generate.py
- 2ad1178e: Add back `--curriculum`
- Misc bug fixes and other features

Pull Request resolved: https://github.com/pytorch/fairseq/pull/577

Differential Revision: D14481233

Pulled By: myleott

fbshipit-source-id: 4ff8625ef1c0b24273fc65df7c5658e3c932e8b7