GitLab

Summary:
(1) Enable to print the iterative refinement history for all NAT models by setting --retain-iter-history during decoding;
(2) Fix a small bug in the decoding process in Levenshtein Transformer.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/908

Differential Revision: D18493234

Pulled By: MultiPath

fbshipit-source-id: 9e7702adcea49f39d3c10b5349b5a9ae66399a24

Summary:
`python setup.py build_ext --inplace` generates C++ source files directly in the Python source tree. They should most likely be ignored by git.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/860

Differential Revision: D17460597

Pulled By: jma127

fbshipit-source-id: 72a29d438ebb57627b68ec7e9a2a77c8a36f1c21

Summary:
Implementation of noisy channel model reranking for release with paper
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/667

Reviewed By: michaelauli

Differential Revision: D15901665

Pulled By: nng555

fbshipit-source-id: 2de2c518be8e5828ffad72db3e741b0940623373

Summary:
CUDA code for light/dynamicconv kernels, including pytorch modules. Modules can be built by running setup.py in each respective folder, and can then be imported and used like any other module.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/547

Reviewed By: myleott, shubho

Differential Revision: D15703660

Pulled By: nng555

fbshipit-source-id: e9c913753be3a1cd571965f7200df6678b644520

Summary:
`--output-format` -> `--dataset-impl` in Tutorial: Classifying Names with a Character-Level RNN
Pull Request resolved: https://github.com/pytorch/fairseq/pull/735

Differential Revision: D15314625

Pulled By: myleott

fbshipit-source-id: 65b8efd1a367ca754e5b9dca088aefbc648864dd

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/546

Differential Revision: D14272808

Pulled By: myleott

fbshipit-source-id: e993450354e7d7561b14b56c12d4859a8ee7121b

Summary:
Following discussion on official fairseq (https://github.com/pytorch/fairseq/issues/438), I added the `--user-dir` option to the command line. The user can now specify a path in order to import a custom module with proprietary tasks, architectures and so on.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/440

Differential Revision: D13651721

Pulled By: myleott

fbshipit-source-id: 38b87454487f1ffa5eaf19c4bcefa0b3b15a8f43