GitLab

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1155

Differential Revision: D17509762

Pulled By: myleott

fbshipit-source-id: 4de535289c1f35abff0d8142d8580f3ede039f47

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1125

Differential Revision: D17431557

Pulled By: myleott

fbshipit-source-id: f712e5355d8dbb0a8f1170674d62e2b6880295b4

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1140

Differential Revision: D17431506

Pulled By: myleott

fbshipit-source-id: b47dae303d7e76daa5b49795476b5e48d7b090ad

Summary:
Added the `predicted_token` to each `topk` filled output item

Updated RoBERTa filling mask example in README.md

Reviewed By: myleott

Differential Revision: D17188810

fbshipit-source-id: 5fdc57ff2c13239dabf13a8dad43ae9a55e8931c

Summary:
When I try to reproduce the experiment in  _Hierarchical Neural Story Generation_, I found the command about generation cannot be executed.

It said that **fairseq-generate: error: unrecognized arguments: --sampling-temperature 0.8**
In the document, I find:
```
--temperature   temperature for generation
Default: 1.0
```
And I don't find a parameter named `--sampling-temperature`, so I think the parameter `--sampling-temperature` should be changed to `--temperature`
Pull Request resolved: https://github.com/pytorch/fairseq/pull/1099

Differential Revision: D17163065

Pulled By: myleott

fbshipit-source-id: 25c430eeee4703f8ec30353825ffec4bb973da0d

Summary:
With this white space, the command might fail.
```
fairseq-preprocess: error: unrecognized arguments:
zsh: command not found: --destdir
```
Pull Request resolved: https://github.com/pytorch/fairseq/pull/1063

Differential Revision: D17072516

Pulled By: myleott

fbshipit-source-id: 68bb9d05b40b215b18aceac2bff3f5ec1ef2f537

Summary:
2018->2019
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/842

Differential Revision: D16973530

Pulled By: nng555

fbshipit-source-id: 00207b79821ac0257a53a0581a84582130e1bff5

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: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/840

Differential Revision: D16947645

Pulled By: myleott

fbshipit-source-id: e869789bc22bbf5cb08d9adfa44f9fc09b3805af

Summary:
Training is failing sometimes because `self.collater` can be both method and property for AsrDataset
https://github.com/pytorch/fairseq/issues/1036

Reviewed By: jcai1

Differential Revision: D16919945

fbshipit-source-id: b34ba54e4dae315b7c723996610a348a8e3031af

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/835

Differential Revision: D16904038

Pulled By: myleott

fbshipit-source-id: 2c9d0b913f8d688297ac80fcabd905bd1397f66a

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1041

Differential Revision: D16904073

Pulled By: myleott

fbshipit-source-id: 22e5e25a15f7a0b6f2d827d98c953a6cec07610e

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/827

Differential Revision: D16833252

Pulled By: myleott

fbshipit-source-id: 8eded8cc651002dfd60869fc2383d305ed335d3a

Summary:
Implementation of noisy channel model reranking for release with paper
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/667

Reviewed By: michaelauli

Differential Revision: D15901665

Pulled By: nng555

fbshipit-source-id: 2de2c518be8e5828ffad72db3e741b0940623373

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/826

Differential Revision: D16830402

Pulled By: myleott

fbshipit-source-id: 25afaa6d9de7b51cc884e3f417c8e6b349f5a7bc

Summary:
1) So far getting `78%`  on winogrande validation dataset comapred to `63.5%` in the paper.
2) Will upgrade readme once everything is finalized.

Questions:

1) Should I just call `binary_wsc_task` instead of `winogrande` to be less specific to dataset and be generic?
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/825

Differential Revision: D16810159

fbshipit-source-id: cfde73561fa4caaaa63a4773c0aecd12ce1fa518

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: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/823

Differential Revision: D16804995

Pulled By: myleott

fbshipit-source-id: abac5dc0ed6b7bfe2309ba273456e54b37340b2c

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1014

Differential Revision: D16784120

Pulled By: myleott

fbshipit-source-id: 946c0e33b594f8378e4ab6482ce49efcb36e1743

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/820

Differential Revision: D16783469

fbshipit-source-id: d5af8ba6a6685608d67b72d584952b8e43eabf9f

Summary:
- remove unnecessary extra spaces in RACE data in preprocessing
- fix finetuning instructions (add `--truncate-sequence` and add `--dropout` params)
- close file handle in SentenceRankingTask
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/818

Differential Revision: D16770055

Pulled By: myleott

fbshipit-source-id: 2c80084e92cdf8692f2ea7e43f7c344c402b9e61

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1004

Differential Revision: D16751443

Pulled By: myleott

fbshipit-source-id: f70acd6c7be6d69da45b5b32fe4c4eff021539ab

Summary:
This task and loss are used for sentence ranking and multiple choice tasks such as RACE
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/809

Reviewed By: myleott

Differential Revision: D16715745

Pulled By: jingfeidu

fbshipit-source-id: cb4d1c7b26ebb3e2382449ba51af5745ef56f30f

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