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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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name | about | labels |
---|---|---|
🐛 Bug Report | Submit a bug report to help us improve | bug, needs triage |
🐛 Bug
To Reproduce
Steps to reproduce the behavior (always include the command you ran):
- Run cmd '....'
- See error
Code sample
Expected behavior
Environment
- fairseq Version (e.g., 1.0 or main):
- PyTorch Version (e.g., 1.0)
- OS (e.g., Linux):
- How you installed fairseq (
pip
, source): - Build command you used (if compiling from source):
- Python version:
- CUDA/cuDNN version:
- GPU models and configuration:
- Any other relevant information: