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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: https://github.com/pytorch/fairseq/pull/1452 Differential Revision: D18798409 Pulled By: myleott fbshipit-source-id: 860a0d5aaf7377c8c9bd63cdb3b33d464f0e1727
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@ -60,9 +60,9 @@ github_doc_root = 'https://github.com/pytorch/fairseq/tree/master/docs/'
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# built documents.
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#
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# The short X.Y version.
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version = '0.8.0'
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version = '0.9.0'
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# The full version, including alpha/beta/rc tags.
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release = '0.8.0'
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release = '0.9.0'
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# The language for content autogenerated by Sphinx. Refer to documentation
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# for a list of supported languages.
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@ -3,6 +3,6 @@
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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__version__ = '0.8.0'
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__version__ = '0.9.0'
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import examples.noisychannel # noqa
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@ -4,7 +4,7 @@
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# LICENSE file in the root directory of this source tree.
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__all__ = ['pdb']
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__version__ = '0.8.0'
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__version__ = '0.9.0'
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import fairseq.criterions # noqa
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import fairseq.models # noqa
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