GitLab

Summary:
In https://github.com/pytorch/audio/pull/3460, we switched the build process for FFmpeg extension.
Since it is complicated to install FFmpeg in some environments, at build time, pre-built binaries and its headers
are downloaded and used as a scaffolding for torchaudio build.

Now even though we did not change any code or FFmpeg version, it turned out that this causes segmentation
fault on Ubuntu when using system Python and FFmpeg 4.4 installed via aptitude.
While investigating the issue, I swapped the said pre-built FFmpeg scaffolding with FFmpeg 4.4 from aptitude,
and the segmentation fault did not happen. This indicates that it is binary compatibility issue.

Before https://github.com/pytorch/audio/issues/3460, each binary build job was building FFmpeg 4.1.8 using the same compiler used to build torchaudio,
but after https://github.com/pytorch/audio/issues/3460 the environments to build FFmpeg 4.1.8 and torchaudio are different. My hypothesis is that
this difference is causing some ABI incompatibility when linking against FFmpeg 4.4. (Also, I don't remember well,
but I read somewhere that 4.4 has a different ABI)

Through experiments, it turned out upgrading the pre-built FFmpeg scaffolding to 4.4 resolves this.
So this commit upgrade the pre-built FFmpeg 4 to 4.4.
The potential (yet unconfirmed) downside is that torchaudio will no longer work with 4.1, 4.2, and 4.3.
Since FFmpeg 4.4 is what Ubuntu 20.04 and 22.04 support by default, and Google Colab is also on 20.04,
I think it is more important to support 4.4.

Therefore we drop the support for 4.1-4.3 from normal build (and official distributions). Those who wish to
use 4.1-4.3 can build torchaudio from source by linking to specific FFmpeg.

Pull Request resolved: https://github.com/pytorch/audio/pull/3561

Reviewed By: hwangjeff

Differential Revision: D48340201

Pulled By: mthrok

fbshipit-source-id: 7ece82910f290c7cf83f58311c4cf6a384e8795e

Summary:
The nightly builds support FFmpeg version 4, 5 and 6.

Pull Request resolved: https://github.com/pytorch/audio/pull/3480

Differential Revision: D47482841

Pulled By: mthrok

fbshipit-source-id: 88267f5e83ddc7b1e866b35e57a87b985e2c78c9

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/3415

Differential Revision: D46526437

Pulled By: mthrok

fbshipit-source-id: f78d19c19d7e68f67712412de35d9ed50f47263b

Summary:
This reverts commit d38a7854.

This is temporary revert to unblock unit test migration from circleci to github

Pull Request resolved: https://github.com/pytorch/audio/pull/3377

Reviewed By: mthrok

Differential Revision: D46230498

Pulled By: atalman

fbshipit-source-id: 000d8a9ca00750fc1ca61f4c2cdd6e930a5ce46d

Summary:
This commit upgrade the version of FFmpeg compiled against TorchAudio binary distribution to 5.0.4.

FFmpeg 5.0 was released in Jan 2022, and many package managers provide a version of FFmpeg v5.
Conda-forge lists 5.1 for all the platforms TorchAudio supports.https://anaconda.org/conda-forge/ffmpeg

Pull Request resolved: https://github.com/pytorch/audio/pull/3298

Reviewed By: hwangjeff

Differential Revision: D45865599

Pulled By: mthrok

fbshipit-source-id: d95638eb80daaf477a710a992f4ead9b9009bb9b

Summary:
Fix build_doc job

https://app.circleci.com/pipelines/github/pytorch/audio/15217/workflows/ce50b317-a59e-4741-b8d2-59129420deb8

- build.ffmpeg.html might not exist when IPython notebook is processed. Changing to main doc URL.
- Fix bash cell syntax in HW tutorial
- Fix C++ doc
- Fix duplicated target name in streamwriter tutorial

Pull Request resolved: https://github.com/pytorch/audio/pull/3125

Reviewed By: xiaohui-zhang

Differential Revision: D43724078

Pulled By: mthrok

fbshipit-source-id: ea7d46ec5e377cf2fbd7c3798df57da73750ac5c

Summary:
Adding and updating author information.

Pull Request resolved: https://github.com/pytorch/audio/pull/2764

Reviewed By: carolineechen

Differential Revision: D40332427

Pulled By: mthrok

fbshipit-source-id: 4f04c7351386c122e3b0a45c2ed1757a04b7dc9a

Summary:
Specifying multiple object in `:minigallery:` directive shows duplicated tutorials.

This commit fixes it by listing tutorials based on module used.

https://output.circle-artifacts.com/output/job/c3da2a22-40d5-4e2d-b73a-28b39e712817/artifacts/0/docs/io.html

Before:
<img width="694" alt="Screen Shot 2022-10-07 at 7 04 35 AM" src="https://user-images.githubusercontent.com/855818/194427092-ca1202e7-0731-4c18-b48b-24923d692a4a.png">

After:

<img width="648" alt="Screen Shot 2022-10-07 at 7 03 14 AM" src="https://user-images.githubusercontent.com/855818/194426950-5b780458-2bf0-43ef-b020-fcbbfdf8d41b.png">

Pull Request resolved: https://github.com/pytorch/audio/pull/2736

Reviewed By: carolineechen

Differential Revision: D40160247

Pulled By: carolineechen

fbshipit-source-id: 547496f9b569ff7a4d70db97e90f3ea503344477

Summary:
https://output.circle-artifacts.com/output/job/213c71c8-c9b5-4516-af92-a2f8dab2c9fd/artifacts/0/docs/tutorials/streamwriter_advanced.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2708

Reviewed By: carolineechen

Differential Revision: D40013310

Pulled By: mthrok

fbshipit-source-id: 7226b021ce2fe951b3bf0bd41e93a6bbcf696124