- 15 May, 2022 1 commit
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John Reese authored
Summary: Applies new import merging and sorting from µsort v1.0. When merging imports, µsort will make a best-effort to move associated comments to match merged elements, but there are known limitations due to the diynamic nature of Python and developer tooling. These changes should not produce any dangerous runtime changes, but may require touch-ups to satisfy linters and other tooling. Note that µsort uses case-insensitive, lexicographical sorting, which results in a different ordering compared to isort. This provides a more consistent sorting order, matching the case-insensitive order used when sorting import statements by module name, and ensures that "frog", "FROG", and "Frog" always sort next to each other. For details on µsort's sorting and merging semantics, see the user guide: https://usort.readthedocs.io/en/stable/guide.html#sorting Reviewed By: lisroach Differential Revision: D36402214 fbshipit-source-id: b641bfa9d46242188524d4ae2c44998922a62b4c
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- 16 Feb, 2022 2 commits
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Zhaoheng Ni authored
Summary: - Add docstring to `eval.py` and `pipeline_demo.py` under `emformer_rnnt` directory. - Refactor logger and ArgumentParser Pull Request resolved: https://github.com/pytorch/audio/pull/2238 Reviewed By: mthrok Differential Revision: D34267059 Pulled By: nateanl fbshipit-source-id: 4b8d3d183ee7bc0ad71ce305cab87bfa90208b2e
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Zhaoheng Ni authored
Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2237 Reviewed By: mthrok Differential Revision: D34267000 Pulled By: nateanl fbshipit-source-id: 4c264aea6cf3fba5d8728d5fe60f9f471815852d
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- 11 Feb, 2022 1 commit
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nateanl authored
Summary: - Add a MUSTC dataset under examples - Add a lightning module for MuST-C dataset - Refactor `train.py`, `eval.py`, and `global_stats.py` scripts Pull Request resolved: https://github.com/pytorch/audio/pull/2219 Reviewed By: hwangjeff Differential Revision: D34180466 Pulled By: nateanl fbshipit-source-id: 9fc74ce7527da1a81dd0738e124428f9d516d164
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- 10 Feb, 2022 1 commit
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hwangjeff authored
Summary: Consolidates LibriSpeech and TED-LIUM Release 3 Emformer RNN-T training recipes in a single directory. Pull Request resolved: https://github.com/pytorch/audio/pull/2212 Reviewed By: mthrok Differential Revision: D34120104 Pulled By: hwangjeff fbshipit-source-id: 29c6e27195d5998f76d67c35b718110e73529456
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