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Summary: # Before submitting - [ ] Was this discussed/approved via a Github issue? (no need for typos, doc improvements) - [ ] Did you read the [contributor guideline](https://github.com/pytorch/fairseq/blob/master/CONTRIBUTING.md)? - [ ] Did you make sure to update the docs? - [ ] Did you write any new necessary tests? ## What does this PR do? Fixes # (issue). ## PR review Anyone in the community is free to review the PR once the tests have passed. If we didn't discuss your PR in Github issues there's a high chance it will not be merged. ## Did you have fun? Make sure you had fun coding � Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/2297 Reviewed By: alexeib Differential Revision: D30906090 Pulled By: dianaml0 fbshipit-source-id: 941d30db7f766c9077a1b5bb2a04680f57e2e070 |
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.. | ||
_static | ||
command_line_tools.rst | ||
conf.py | ||
criterions.rst | ||
data.rst | ||
docutils.conf | ||
fairseq_logo.png | ||
fairseq.gif | ||
getting_started.rst | ||
hydra_integration.md | ||
index.rst | ||
lr_scheduler.rst | ||
make.bat | ||
Makefile | ||
models.rst | ||
modules.rst | ||
optim.rst | ||
overview.rst | ||
requirements.txt | ||
tasks.rst | ||
tutorial_classifying_names.rst | ||
tutorial_simple_lstm.rst |