GitLab

Summary:
Currently there will be a few errors when this tutorial is run with a CUDA device.

The reasons being:
- The source audio waveform is not properly moved to the GPU. The `to()` method is not in-place for Tensors, so we need to assign the return value of the method call to the variable (otherwise the Tensor would still be on the CPU).
- When performing further analysis and displaying of the output audio, we need to move them back from the GPU to the CPU. This is because some of the functions we call require the Tensor to be on the CPU (e.g. `stft()` and `bss_eval_sources()`).

Pull Request resolved: https://github.com/pytorch/audio/pull/3017

Reviewed By: mthrok

Differential Revision: D42828526

Pulled By: nateanl

fbshipit-source-id: c28bc855e79e3363a011f4a35a69aae1764e7762

Summary:
The separation applies on chunks of audios to avoid OOM. The combination of consecutive chunks is described in the graph:

![image](https://user-images.githubusercontent.com/8653221/195691886-002844e6-4ec5-41de-8910-df8046553998.png)

In the last audio chunk, there is no future chunk to be combined, hence the overlap on the right side doesn't need to be faded.

Pull Request resolved: https://github.com/pytorch/audio/pull/2769

Reviewed By: carolineechen

Differential Revision: D40358382

Pulled By: nateanl

fbshipit-source-id: ec8be895d7a67acb257e2693b64922397163ed5e

Summary:
* Introduce the mini-index at `torchaudio.models` page.

https://output.circle-artifacts.com/output/job/25e59810-3866-4ece-b1b7-8a10c7a2286d/artifacts/0/docs/models.html

<img width="1042" alt="Screen Shot 2022-09-20 at 1 20 50 PM" src="https://user-images.githubusercontent.com/855818/191166816-83314ad1-8b67-475b-aa10-d4cc59126295.png">

<img width="1048" alt="Screen Shot 2022-09-20 at 1 20 58 PM" src="https://user-images.githubusercontent.com/855818/191166829-1ceb65e0-9506-4328-9a2f-8b75b4e54404.png">

Pull Request resolved: https://github.com/pytorch/audio/pull/2690

Reviewed By: carolineechen

Differential Revision: D39654948

Pulled By: mthrok

fbshipit-source-id: 703d1526617596f647c85a7148f41ca55fffdbc8

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:
Add tutorial python file, draft PR, will continue to modify accordingly to feedback.

Future plan: modify spectrogram and bottom audio design and work on finding best audio track and segments

Pull Request resolved: https://github.com/pytorch/audio/pull/2572

Reviewed By: carolineechen, nateanl, mthrok

Differential Revision: D38234001

Pulled By: skim0514

fbshipit-source-id: fe9207864f354dec5cf5ff52bf7d9ddcf4a001d5