GitLab

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