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v0.8.0 -> v0.9.0 (#1452)
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Summary:
Possibly breaking changes:
- Set global numpy seed (4a7cd58)
- Split `in_proj_weight` into separate k, v, q projections in MultiheadAttention (fdf4c3e)
- TransformerEncoder returns namedtuples instead of dict (27568a7)

New features:
- Add `--fast-stat-sync` option (e1ba32a)
- Add `--empty-cache-freq` option (315c463)
- Support criterions with parameters (ba5f829)

New papers:
- Simple and Effective Noisy Channel Modeling for Neural Machine Translation (49177c9)
- Levenshtein Transformer (86857a5, ...)
- Cross+Self-Attention for Transformer Models (4ac2c5f)
- Jointly Learning to Align and Translate with Transformer Models (1c66792)
- Reducing Transformer Depth on Demand with Structured Dropout (dabbef4)
- Unsupervised Cross-lingual Representation Learning at Scale (XLM-RoBERTa) (e23e5ea)
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension (a92bcda)
- CamemBERT: a French BERT (b31849a)

Speed improvements:
- Add CUDA kernels for LightConv and DynamicConv (f840564)
- Cythonization of various dataloading components (4fc3953, ...)
- Don't project mask tokens for MLM training (718677e)
Pull Request resolved: #1452

Differential Revision: D18798409

Pulled By: myleott

fbshipit-source-id: 860a0d5aaf7377c8c9bd63cdb3b33d464f0e1727
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myleott authored and facebook-github-bot committed Dec 3, 2019
1 parent d48895b commit df2f84c
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Showing 4 changed files with 5 additions and 5 deletions.
4 changes: 2 additions & 2 deletions docs/conf.py
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# built documents.
#
# The short X.Y version.
version = '0.8.0'
version = '0.9.0'
# The full version, including alpha/beta/rc tags.
release = '0.8.0'
release = '0.9.0'

# 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 examples/__init__.py
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Expand Up @@ -3,6 +3,6 @@
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.

__version__ = '0.8.0'
__version__ = '0.9.0'

import examples.noisychannel # noqa
2 changes: 1 addition & 1 deletion fairseq/__init__.py
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Expand Up @@ -4,7 +4,7 @@
# LICENSE file in the root directory of this source tree.

__all__ = ['pdb']
__version__ = '0.8.0'
__version__ = '0.9.0'

import fairseq.criterions # noqa
import fairseq.models # noqa
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -116,7 +116,7 @@ def include_dirs(self, dirs):

setup(
name='fairseq',
version='0.8.0',
version='0.9.0',
description='Facebook AI Research Sequence-to-Sequence Toolkit',
url='https://github.com/pytorch/fairseq',
classifiers=[
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