- 23 Dec, 2021 2 commits
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Caroline Chen authored
Summary: Part of https://github.com/pytorch/audio/issues/2072 -- splitting up PR for easier review This PR adds Python decoder API and basic README Pull Request resolved: https://github.com/pytorch/audio/pull/2089 Reviewed By: mthrok Differential Revision: D33299818 Pulled By: carolineechen fbshipit-source-id: 778ec3692331e95258d3734f0d4ab60b6618ddbc
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Joao Gomes authored
Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2096 run: `arc lint --apply-patches --paths-cmd 'hg files -I "./**/*.py"'` Reviewed By: mthrok Differential Revision: D33297351 fbshipit-source-id: 7bf5956edf0717c5ca90219f72414ff4eeaf5aa8
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- 18 Nov, 2021 1 commit
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Facebook Community Bot authored
Co-authored-by:Facebook Community Bot <6422482+facebook-github-bot@users.noreply.github.com>
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- 17 Nov, 2021 1 commit
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Zhaoheng Ni authored
Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2015 as titled Reviewed By: hwangjeff, mthrok Differential Revision: D32495691 fbshipit-source-id: 60d8a2337585e3147f24ca9f0b6518e30cd9134a
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- 22 Oct, 2021 1 commit
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moto authored
- Make the test support other languages - Fetch tetst asset on-the-fly
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- 05 Oct, 2021 1 commit
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moto authored
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- 28 Sep, 2021 1 commit
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moto authored
This commit adds the following HuBERT model architectures - `base` (pre-training) - `large` (pre-training / fine-tuning) - `xlarge` (pre-training / fine-tuning) Since the internal components are same as `Wav2Vec2Model`, it reuses the existing modules.. With these models, it is possible to - import the pre-trained model published by `fairseq` and TorchScript it. - fine-tune the existing model for downstream task.
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- 22 Sep, 2021 1 commit
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moto authored
Summary: Update fairseq reference from master to main elsewhere Reviewed By: alexeib Differential Revision: D30938472 fbshipit-source-id: 243b98550207f241c9d3265bf3d4060350aaf0a8 Co-authored-by:Diana Liskovich <dianaml@fb.com>
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- 04 Jun, 2021 1 commit
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moto authored
`torchaudio.compliance.kaldi.resample_waveform` has been replaced with `torchaudio.funcitonal.resample`.
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- 01 Jun, 2021 1 commit
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moto authored
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- 27 May, 2021 1 commit
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moto authored
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- 15 Mar, 2021 1 commit
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moto authored
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- 09 Feb, 2021 1 commit
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moto authored
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- 30 Dec, 2020 1 commit
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Aziz authored
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- 22 Dec, 2020 1 commit
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moto authored
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- 05 Aug, 2020 1 commit
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moto authored
We have been running unit test with editable installation. (i.e. `python setup.py develop`), with which we missed issues like #842. This CC makes installation in CI non-editable, and change test directory structure so that the source code will not shadow the installed version of `torchaudio`. With simple `pytest test`, `pytest` modifies `sys.path` and prepend checked out repository, which shadows the installed version. To remedy this, the whole test suites has been moved from `./test` to `./test/torchaudio_unittest`. This adds nice module structure to our test code and we can do absolute import in each test module, which makes it possible again to run test with `python -m unittest torchaudio_unittest/XXX.py` This change does not affect the regular development process (`python setup.py develop` && `pytest test`)
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