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Summary:
* Add FusedLayerNorm and FusedAdam
* Softmax and zero grad optimizations
Pull Request resolved: https://github.com/pytorch/fairseq/pull/531

Differential Revision: D14218457

Pulled By: myleott

fbshipit-source-id: 5656b2d0152cd85f77dc21ec0e1439ec04b9fa89

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/522

Differential Revision: D14194672

Pulled By: myleott

fbshipit-source-id: 4ff669826c4313de6f12076915cfb1bd15289ef0

Summary:
Code for the paper: [Mixture Models for Diverse Machine Translation: Tricks of the Trade (Shen et al., 2019)](https://arxiv.org/abs/1902.07816).
Pull Request resolved: https://github.com/pytorch/fairseq/pull/521

Differential Revision: D14188021

Pulled By: myleott

fbshipit-source-id: ed5b1ed5ad9a582359bd5215fa2ea26dc76c673e

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: https://github.com/pytorch/fairseq/pull/495

Differential Revision: D14017761

Pulled By: myleott

fbshipit-source-id: 10c9f6634a3056074eac2f33324b4f1f404d4235

Summary:
Changelog:
- `e330f56`: Add code for the "Pay Less Attention with Lightweight and Dynamic Convolutions" paper
- `5e3b98c`: Add scripts for computing tokenized BLEU with compound splitting and sacrebleu
- update READMEs
- misc fixes
Pull Request resolved: https://github.com/pytorch/fairseq/pull/473

Differential Revision: D13819717

Pulled By: myleott

fbshipit-source-id: f2dc12ea89a436b950cafec3593ed1b04af808e9

Summary:
minor fixes:
1- adding fairseq logo
2- encoder padding for fconv self att
3- legacy ddp change
Pull Request resolved: https://github.com/pytorch/fairseq/pull/442

Differential Revision: D13651715

Pulled By: myleott

fbshipit-source-id: ac93c80f1dbffdfe03fbd4b8a8ea527aecb576a7

Summary:
Pull Request resolved: https://github.com/pytorch/translate/pull/283

Pull Request resolved: https://github.com/pytorch/fairseq/pull/428

Differential Revision: D13564190

Pulled By: myleott

fbshipit-source-id: 3b62282d7069c288f5bdd1dd2c120788cee4abb5

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/300

Differential Revision: D10154711

Pulled By: edunov

fbshipit-source-id: 859d1ac59923b67c1547b6f7acb94f801b0c3318

Fix preprocessed test set download links

Add transformer models and replace list with table

This PR includes breaking API changes to modularize fairseq-py and adds support for distributed training across multiple nodes.

Changes:
- c7033ef: add support for distributed training! See updated README for usage.
- e016299: modularize fairseq-py, adding support for register_model, register_criterion, register_optimizer, etc.
- 154e440: update LSTM implementation to use PackedSequence objects in the encoder, better following best practices and improving perf
- 90c2973 and 1da6265: improve unit test coverage

Don't suggest Miniconda (see #24)

Update PyTorch install instructions