v0.8.0 -> v0.9.0 (#1452)

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
facebookresearch · Dec 3, 2019 · df2f84c · df2f84c
1 parent d48895b
commit df2f84c
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diff --git a/docs/conf.py b/docs/conf.py
@@ -60,9 +60,9 @@
 # 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.

diff --git a/examples/__init__.py b/examples/__init__.py
@@ -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
diff --git a/fairseq/__init__.py b/fairseq/__init__.py
@@ -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

diff --git a/setup.py b/setup.py
@@ -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=[