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v0.7.2 -> v0.8.0 (#1017)
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Summary:
Changelog:
- Relicensed under MIT license
- Add RoBERTa
- Add wav2vec
- Add WMT'19 models
- Add initial ASR code
- Changed torch.hub interface (`generate` renamed to `translate`)
- Add `--tokenizer` and `--bpe`
- f812e52: Renamed data.transforms -> data.encoders
- 654affc: New Dataset API (optional)
- `47fd985`: Deprecate old Masked LM components
- `5f78106`: Set mmap as default dataset format and infer format automatically
- Misc fixes for sampling
- Misc fixes to support PyTorch 1.2
Pull Request resolved: #1017

Differential Revision: D16799880

Pulled By: myleott

fbshipit-source-id: 45ad8bc531724a53063cbc24ca1c93f715cdc5a7
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myleott authored and facebook-github-bot committed Aug 14, 2019
1 parent 7c89e13 commit ffffe04
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4 changes: 2 additions & 2 deletions docs/conf.py
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# built documents.
#
# The short X.Y version.
version = '0.7.2'
version = '0.8.0'
# The full version, including alpha/beta/rc tags.
release = '0.7.2'
release = '0.8.0'

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
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2 changes: 1 addition & 1 deletion fairseq/__init__.py
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# LICENSE file in the root directory of this source tree.

__all__ = ['pdb']
__version__ = '0.7.2'
__version__ = '0.8.0'

import fairseq.criterions # noqa
import fairseq.models # noqa
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2 changes: 1 addition & 1 deletion setup.py
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setup(
name='fairseq',
version='0.7.2',
version='0.8.0',
description='Facebook AI Research Sequence-to-Sequence Toolkit',
url='https://github.com/pytorch/fairseq',
classifiers=[
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