v0.7.1 -> v0.7.2 (facebookresearch#891) Summary: No major API changes since the last release. Cutting a new release since we'll be merging significant (possibly breaking) changes to logging, data loading and the masked LM implementation soon. Pull Request resolved: facebookresearch#891 Differential Revision: D16377132 Pulled By: myleott fbshipit-source-id: f1cb88e671ccd510e53334d0f449fe18585268c7

v0.7.1: fix PyPI setup and tests Summary: Pull Request resolved: facebookresearch#818 Differential Revision: D15916265 Pulled By: myleott fbshipit-source-id: c66c0bd988d3472c4150226952f34ee8d4c3db86

v0.7.0 (facebookresearch#817) Summary: Notable (possibly breaking) changes: - d45db80: Remove checkpoint utility functions from utils.py into checkpoint_utils.py - f2563c2: Move LM definitions into separate files - dffb167: Updates to model API: - `FairseqModel` -> `FairseqEncoderDecoderModel` - add `FairseqDecoder.extract_features` and `FairseqDecoder.output_layer` - `encoder_out_dict` -> `encoder_out` - rm unused `remove_head` functions - 34726d5: Move `distributed_init` into `DistributedFairseqModel` - cf17068: Simplify distributed launch by automatically launching multiprocessing on each node for all visible GPUs (allows launching just one job per node instead of one per GPU) - d45db80: Change default LR scheduler from `reduce_lr_on_plateau` to `fixed` - 96ac28d: Rename `--sampling-temperature` -> `--temperature` - fc1a19a: Deprecate dummy batches - a1c997b: Add memory mapped datasets - 0add50c: Allow cycling over multiple datasets, where each one becomes an "epoch" Plus many additional features and bugfixes Pull Request resolved: facebookresearch#817 Differential Revision: D15913844 Pulled By: myleott fbshipit-source-id: d5b5d678efdd9dd3e4d7ca848ddcf1ec2b21bf6b

0.6.1 -> 0.6.2 (facebookresearch#577) Summary: Changelog: - 998ba4f: Add language models from Baevski & Auli (2018) - 4294c4f: Add mixture of experts code from Shen et al. (2019) - 0049349: Add example for multilingual training - 48d9afb: Speed improvements, including fused operators from apex - 44d27e6: Add Tensorboard support - d17fa85: Add Adadelta optimizer - 9e1c880: Add `FairseqEncoderModel` - b65c579: Add `FairseqTask.inference_step` to modularize generate.py - 2ad1178: Add back `--curriculum` - Misc bug fixes and other features Pull Request resolved: facebookresearch#577 Differential Revision: D14481233 Pulled By: myleott fbshipit-source-id: 4ff8625ef1c0b24273fc65df7c5658e3c932e8b7

Add fairseq to PyPI (facebookresearch#495) Summary: - fairseq can now be installed via pip: `pip install fairseq` - command-line tools are globally accessible: `fairseq-preprocess`, `fairseq-train`, `fairseq-generate`, etc. Pull Request resolved: facebookresearch#495 Differential Revision: D14017761 Pulled By: myleott fbshipit-source-id: 10c9f6634a3056074eac2f33324b4f1f404d4235

Online backtranslation module Co-authored-by: liezl200 <lie@fb.com>

0.4.0 -> 0.5.0 Changelog: - 97b58b4: add Transformer model from Vaswani et al. (2017) - b2374e5: faster Transformer inference with improved caching - 2d27ae0: simulate large mini-batch training with delayed updates (`--update-freq`) - 7ee1d28: add FP16 training support (`--fp16`) - 2a84f46: faster inference by removing completed sentences from the batch - 663fd80: batched interactive generation - 4c2ef2d: add language modeling / gated convolutional model from Dauphin et al. (2017) - b59815b: add Hierarchical Neural Story Generation model from Fan et al. (2018) - ff68a9e: add FairseqTask to modularize task definitions (e.g., translation, language modeling)

Merge internal changes (facebookresearch#163)