- 17 Nov, 2019 1 commit
-
-
Angela Fan authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1385 Differential Revision: D18565188 Pulled By: huihuifan fbshipit-source-id: 9580663b208f286a249bbfa2bacd71f34a01ca9f
-
- 03 Sep, 2019 1 commit
-
-
altale authored
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
-
- 02 Aug, 2019 1 commit
-
-
Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/795 Differential Revision: D16620488 Pulled By: myleott fbshipit-source-id: 1998a9ccd8816fc7f590861fb4898f910a36bc1e
-
- 11 Jun, 2019 1 commit
-
-
Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/793 Differential Revision: D15758755 Pulled By: myleott fbshipit-source-id: b93e4ac11bde36a0b59b4d6d1c84d31c3124d767
-
- 25 Apr, 2019 1 commit
-
-
Angela Fan authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/665 Differential Revision: D15077853 Pulled By: huihuifan fbshipit-source-id: 2a0d3f6236ae002579f1ee72735d6d8000b8e6b6
-
- 09 Feb, 2019 1 commit
-
-
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
-
- 25 Jan, 2019 1 commit
-
-
Myle Ott authored
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
-
- 01 Nov, 2018 1 commit
-
-
John Pope authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/290 Differential Revision: D12876759 Pulled By: myleott fbshipit-source-id: 9f6d1c9de27dad29368a7edb923dfcf770355938
-
- 07 Sep, 2018 1 commit
-
-
Angela Fan authored
-
- 20 Jul, 2018 1 commit
-
-
Angela Fan authored
-
- 08 Jul, 2018 1 commit
-
-
Angela Fan authored
add model override argument from load_ensemble_for_inference at generation time, updating readme for stories
-
- 20 Jun, 2018 3 commits
-
-
Angela Fan authored
-
Angela Fan authored
-
Angela Fan authored
-
- 15 Jun, 2018 2 commits
-
-
Myle Ott authored
A Task defines the data format, stores shared state (e.g., dictionaries) and provides helpers for building the model/criterion and calculating the loss. Changes: - Add TranslationTask and LanguageModelingTask. New tasks can be registered with @register_task decorator. - Add EpochBatchIterator to encapsulate batching and saving/restoring dataloader position - Remove LEFT_PAD_* constants and make them configurable per task
-
Alexei Baevski authored
-
