v0.7.2 -> v0.8.0 (#1017)

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`
- f812e529: Renamed data.transforms -> data.encoders
- 654affc0: New Dataset API (optional)
- `47fd9852`: Deprecate old Masked LM components
- `5f78106a`: Set mmap as default dataset format and infer format automatically
- Misc fixes for sampling
- Misc fixes to support PyTorch 1.2
Pull Request resolved: https://github.com/pytorch/fairseq/pull/1017

Differential Revision: D16799880

Pulled By: myleott

fbshipit-source-id: 45ad8bc531724a53063cbc24ca1c93f715cdc5a7

docs/conf.py

@@ -60,9 +60,9 @@ github_doc_root = 'https://github.com/pytorch/fairseq/tree/master/docs/'
 # 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.

fairseq/__init__.py

@@ -4,7 +4,7 @@
 # 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

setup.py

@@ -30,7 +30,7 @@ bleu = Extension(
 
 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=[