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  1. 29 Mar, 2019 3 commits
    • Stefan Schweter's avatar
      Documentation: fix link to language model readme (#600) · 8ab27e6e
      Stefan Schweter authored 
      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
      8ab27e6e
    • Facebook Community Bot's avatar
      Adding Code of Conduct file (#603) · c7e9e458
      Facebook Community Bot authored 
      Summary:
This is pull request was created automatically because we noticed your project was missing a Code of Conduct file.

Code of Conduct files facilitate respectful and constructive communities by establishing expected behaviors for project contributors.

This PR was crafted with love by Facebook's Open Source Team.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/603

Differential Revision: D14680981

Pulled By: myleott

fbshipit-source-id: 653262641554735d89f96c392c72fb311e53a451
      c7e9e458
    • Felix Wu's avatar
      Fixing a bug of DynamicConv in the unfolding mode (#593) · 34c9ebf0
      Felix Wu authored 
      Summary:
The unfold1d.py has the same name as the function `unfold1d` function, which will cause an error when using DynamicConv1dTBC with `unfold=True`.
This doesn't affect the NMT models which don't use the unfolding mode though.

I rename `unfold1d.py` as `unfold.py` to fix this bug.

Originally we would get `TypeError` when running this code:
```
import torch
from fairseq.modules import LightweightConv1dTBC, DynamicConv1dTBC

x = torch.rand(4, 10, 8)
m = LightweightConv1dTBC(8, 4, 3)
o = m(x, unfold=True)

m = DynamicConv1dTBC(8, 4, 3)
o = m(x, unfold=True)
```
Pull Request resolved: https://github.com/pytorch/fairseq/pull/593

Differential Revision: D14597117

Pulled By: myleott

fbshipit-source-id: 59752fd7ff62c53a4aba8b56b83155291e5f5792
      34c9ebf0
  3. 26 Mar, 2019 1 commit
  5. 19 Mar, 2019 2 commits
  7. 16 Mar, 2019 1 commit
  9. 15 Mar, 2019 1 commit
    • Myle Ott's avatar
      0.6.1 -> 0.6.2 (#577) · e6422528
      Myle Ott authored 
      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
      e6422528
  11. 14 Mar, 2019 2 commits
  13. 13 Mar, 2019 1 commit
  15. 12 Mar, 2019 3 commits
    • Dmytro Okhonko's avatar
      Handle 3+ dimensional input in sequence_generator + nits · 860010e9
      Dmytro Okhonko authored 
      Summary: sequence_generator assumes that model input is 2d tensor of longs. But it can be something like 3d tensor of floats and we should be able to handle this as long as first dimension is batch size followed by source lengths.

Reviewed By: myleott

Differential Revision: D14420044

fbshipit-source-id: bf8b1e42ad1873f7b803c1a377b0af21648db015
      860010e9
    • Dmytro Okhonko's avatar
      Adadelta optimizer · d17fa851
      Dmytro Okhonko authored 
      Summary: Adding Adadelta optimizer to fairseq as wrapper around torch.optim.Adadelta

Reviewed By: myleott

Differential Revision: D14418635

fbshipit-source-id: 6bf5ec008e905a4a2cbf7415e9492f5eea3ff07f
      d17fa851
    • Dmytro Okhonko's avatar
      FairseqEncoderModel · 9e1c880f
      Dmytro Okhonko authored 
      Summary: Base class for encoder-only models. Some models doesn't have decoder part.

Reviewed By: myleott

Differential Revision: D14413406

fbshipit-source-id: f36473b91dcf3c835fd6d50e2eb6002afa75f11a
      9e1c880f
  17. 11 Mar, 2019 2 commits
    • Matt Le's avatar
      Create fairseq_cli_lib · 7fc9a3be
      Matt Le authored 
      Summary: This allows one to call fairseq_cli functions from within python without dispatching to bash.

Reviewed By: myleott

Differential Revision: D14404719

fbshipit-source-id: 044eb652045bb15fc40e72ecbaf6fb10df9f8c61
      7fc9a3be
    • Jose Fonollosa's avatar
      Add missing parentheses in regex expression (#567) · fef4e002
      Jose Fonollosa authored 
      Summary:
The regex pattern without parentheses is not correct. The checkpoints are not sorted in descending order
Pull Request resolved: https://github.com/pytorch/fairseq/pull/567

Differential Revision: D14404380

Pulled By: myleott

fbshipit-source-id: 98cd0cfa8c92b78a03ffbb94840bc0f7a118eca1
      fef4e002
  19. 04 Mar, 2019 2 commits
  21. 02 Mar, 2019 1 commit
  23. 01 Mar, 2019 4 commits
  25. 28 Feb, 2019 5 commits
  27. 26 Feb, 2019 4 commits
  29. 24 Feb, 2019 1 commit
  31. 23 Feb, 2019 1 commit
  33. 22 Feb, 2019 2 commits
  35. 19 Feb, 2019 1 commit
    • Ruty Rinott's avatar
      moving masking logic to collate · 08e866f9
      Ruty Rinott authored 
      Summary: Move masking logic to data_utils

Reviewed By: kartikayk, jingfeidu

Differential Revision: D14098403

fbshipit-source-id: c7b7e811ab48b9c5a12662dc1e2f2ed694724176
      08e866f9
  37. 16 Feb, 2019 1 commit
  39. 12 Feb, 2019 1 commit
  41. 09 Feb, 2019 1 commit
    • Myle Ott's avatar
      Add fairseq to PyPI (#495) · fbd4cef9
      Myle Ott authored 
      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
      fbd4cef9