GitLab

Summary:
The PR move `SquimObjective` and `SquimSubjective` models and corresponding factory functions and pre-trained pipelines out of prototype and to the core directory. They will be included in the next official release.

Pull Request resolved: https://github.com/pytorch/audio/pull/3512

Reviewed By: mthrok

Differential Revision: D47837434

Pulled By: nateanl

fbshipit-source-id: d0639f29079f7e1afc30f236849e530c8cadffd8

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/3053

Reviewed By: nateanl

Differential Revision: D43238766

Pulled By: mthrok

fbshipit-source-id: 4f82878b1c97b0e6a35af75855849b86200e6061

Summary:
The PR adds three `Wav2Vec2Bundle ` pipeline objects for XLS-R models:
- WAV2VEC2_XLSR_300M
- WAV2VEC2_XLSR_1B
- WAV2VEC2_XLSR_2B

All three models use layer normalization in the feature extraction layers, hence `_normalize_waveform` is set to `True`.

Pull Request resolved: https://github.com/pytorch/audio/pull/2978

Reviewed By: hwangjeff

Differential Revision: D42501491

Pulled By: nateanl

fbshipit-source-id: 2429ec880cc14798034843381e458e1b4664dac3

Summary:
Addressed mthrok's comments in https://github.com/pytorch/audio/pull/2833:
- Moved model type from `_params` directly into the bundle definition. For now I defined model type as "WavLM" for WavLM bundles and "Wav2Vec2" for everything else. We can also distinguish between different Wav2Vec2 falvours - Hubert, VoxPopuli etc, but at the moment this won't imply any functional differences, so I didn't do it
- Expanded the title underline to match the title length

Pull Request resolved: https://github.com/pytorch/audio/pull/2895

Reviewed By: nateanl, mthrok

Differential Revision: D41799875

Pulled By: sgrigory

fbshipit-source-id: 0730d4f91ed60e900643bb74d6cccdd7aa5d7b39

Summary:
Closes T136364380, follow-up to https://github.com/pytorch/audio/issues/2822

- Added "base", "base+", and "large" bundles for WavLM
- Expanded `wav2vec2_pipeline_test.py` to include the new bundles
- Added the new bundles to docs in `pipelines.rst`

Pull Request resolved: https://github.com/pytorch/audio/pull/2833

Reviewed By: nateanl

Differential Revision: D41194796

Pulled By: sgrigory

fbshipit-source-id: bf8e96c05b6a81ac5c5a014c46adeeac12685328

Summary:
* Introduce the mini-index at `torchaudio.pipelines` page.
* Add introductions
* Update pipeline tutorials

https://output.circle-artifacts.com/output/job/ccc57d95-1930-45c9-b967-c8d477d35f29/artifacts/0/docs/pipelines.html

<img width="1163" alt="Screen Shot 2022-09-20 at 1 23 29 PM" src="https://user-images.githubusercontent.com/855818/191167049-98324e93-2e16-41db-8538-3b5b54eb8224.png">

<img width="1115" alt="Screen Shot 2022-09-20 at 1 23 49 PM" src="https://user-images.githubusercontent.com/855818/191167071-4770f594-2540-43a4-a01c-e983bf59220f.png">

https://output.circle-artifacts.com/output/job/ccc57d95-1930-45c9-b967-c8d477d35f29/artifacts/0/docs/generated/torchaudio.pipelines.RNNTBundle.html#torchaudio.pipelines.RNNTBundle

<img width="1108" alt="Screen Shot 2022-09-20 at 1 24 18 PM" src="https://user-images.githubusercontent.com/855818/191167123-51b33a5f-c30c-46bc-b002-b05d2d0d27b7.png">

Pull Request resolved: https://github.com/pytorch/audio/pull/2689

Reviewed By: carolineechen

Differential Revision: D39691253

Pulled By: mthrok

fbshipit-source-id: ddf5fdadb0b64cf2867b6271ba53e8e8c0fa7e49

Summary:
Previous versions of Sphinx reported wrong path for return class. This issue is fixed on the latest Sphinx.

It allows to remove the patch we apply in `conf.py`. This is essential for the adoptation of `:autosummary:`, as it won't render correctly with the patch.

https://output.circle-artifacts.com/output/job/19d93ede-08de-4b9e-9d66-67ca5dab964e/artifacts/0/docs/pipelines.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2678

Reviewed By: carolineechen

Differential Revision: D39509447

Pulled By: mthrok

fbshipit-source-id: e104bc6a87f32cba6c549a9fe8f2d1e489ee27e4

Summary:
Preparation for the adoptation of `autosummary`.

Replace `:footcite:` with `:cite:` and introduce dedicated reference page, as `:footcite:` does not work well with `autosummary`.

Example:

https://output.circle-artifacts.com/output/job/4da47ba6-d9c7-418e-b5b0-e9f8a146a6c3/artifacts/0/docs/datasets.html#cmuarctic

https://output.circle-artifacts.com/output/job/4da47ba6-d9c7-418e-b5b0-e9f8a146a6c3/artifacts/0/docs/references.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2676

Reviewed By: carolineechen

Differential Revision: D39509431

Pulled By: mthrok

fbshipit-source-id: e6003dd01ec3eff3d598054690f61de8ee31ac9a

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2673

Reviewed By: mthrok

Differential Revision: D39507612

Pulled By: carolineechen

fbshipit-source-id: 3a9ee53f72cabd6e3085c76867017be4a6ed7f53

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2669

Reviewed By: carolineechen, mthrok

Differential Revision: D39433560

Pulled By: nateanl

fbshipit-source-id: 5b652b31c00badb37b27a32ac25b422a5bcc74cb

Summary:
Moves ASR features out of `torchaudio.prototype`. Specifically, merges contents of `torchaudio.prototype.models` into `torchaudio.models` and contents of `torchaudio.prototype.pipelines` into `torchaudio.pipelines` and updates refs, tests, and docs accordingly.

Pull Request resolved: https://github.com/pytorch/audio/pull/2187

Reviewed By: nateanl, mthrok

Differential Revision: D33918092

Pulled By: hwangjeff

fbshipit-source-id: f003f289a7e5d7d43f85b7c270b58bdf2ed6344c

Summary:
This commit updates the documentation configuration so that if an API (function or class) is used in tutorials, then it automatically add the links to the tutorials.

It also adds `py:func:` so that it's easy to jump from tutorials to API reference.

Note: the use of `py:func:` is not required to be recognized by Shpinx-gallery.

* https://482162-90321822-gh.circle-artifacts.com/0/docs/transforms.html#feature-extractions

<img width="776" alt="Screen Shot 2021-12-24 at 12 41 43 PM" src="https://user-images.githubusercontent.com/855818/147367407-cd86f114-7177-426a-b5ee-a25af17ae476.png">

* https://482162-90321822-gh.circle-artifacts.com/0/docs/transforms.html#mvdr

<img width="769" alt="Screen Shot 2021-12-24 at 12 42 31 PM" src="https://user-images.githubusercontent.com/855818/147367422-01fd245f-2f25-4875-a206-910e17ae0161.png">

Pull Request resolved: https://github.com/pytorch/audio/pull/2101

Reviewed By: hwangjeff

Differential Revision: D33311283

Pulled By: mthrok

fbshipit-source-id: e0c124d2a761e0f8d81c3d14c4ffc836ffffe288

* Add wav2vec2 ASR German pretrained model from voxpopuli

1. Override the return type so that Sphinx shows the exported symbols.
   (output model types and input torch.nn.Module)
2. Tweak docs for Tacotron2TTSBundle interfaces
3. Fix for HUBERT_ASR_XLARGE

Future work items:
- length computation of GriffinLim
- better way to make InverseMelScale work in inference_mode

- Move wav2vec2 pretrained weights to `torchaudio.pipelines` namespace to align with #1872.
- Split `Wav2Vec2PretrainedModelBundle` into `Wav2Vec2Bundle` (for pre-training model) and  `Wav2Vec2ASRBundle` (for models fine-tuned for ASR).
- Update base URL