- 05 Jan, 2019 1 commit
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Myle Ott authored
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
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- 07 Nov, 2018 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/352 Differential Revision: D12956930 Pulled By: myleott fbshipit-source-id: 39334a79544bac570feb04be9103269d7c1563f9
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- 03 Sep, 2018 1 commit
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Myle Ott authored
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- 27 Feb, 2018 1 commit
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Myle Ott authored
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
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- 19 Oct, 2017 1 commit
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Louis Martin authored
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- 15 Sep, 2017 1 commit
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Sergey Edunov authored
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