Add pretrained VGGish inference pipeline

[hwangjeff]

Adds pre-trained VGGish inference pipeline ported from https://github.com/harritaylor/torchvggish and https://github.com/tensorflow/models/tree/master/research/audioset.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/audio/3491

• 📄 Preview Python docs built from this PR

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❌ 1 New Failure, 3 Unrelated Failures

As of commit a9a01c6:

NEW FAILURE - The following job has failed:

• build (3.8) (gh)

BROKEN TRUNK - The following jobs failed but were present on the merge base 84b1230:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• tests (3.10, 11.8) / linux-job (gh)
• tests (3.8, 11.8) / linux-job (gh)
• tests (3.9, 11.8) / linux-job (gh)

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@hwangjeff has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@hwangjeff has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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This pull request was exported from Phabricator. Differential Revision: D47738130

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This pull request was exported from Phabricator. Differential Revision: D47738130

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This pull request was exported from Phabricator. Differential Revision: D47738130

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D47738130

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This pull request was exported from Phabricator. Differential Revision: D47738130

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@hwangjeff merged this pull request in cbfde17.

[github-actions]

Hey @hwangjeff.
You merged this PR, but labels were not properly added. Please add a primary and secondary label (See https://github.com/pytorch/audio/blob/main/.github/process_commit.py).

---

Some guidance:

Use 'module: ops' for operations under 'torchaudio/{transforms, functional}', and ML-related components under 'torchaudio/csrc' (e.g. RNN-T loss).

Things in "examples" directory:

• 'recipe' is applicable to training recipes under the 'examples' folder,
• 'tutorial' is applicable to tutorials under the “examples/tutorials” folder
• 'example' is applicable to everything else (e.g. C++ examples)
• 'module: docs' is applicable to code documentations (not to tutorials).

Regarding examples in code documentations, please also use 'module: docs'.

Please use 'other' tag only when you’re sure the changes are not much relevant to users, or when all other tags are not applicable. Try not to use it often, in order to minimize efforts required when we prepare release notes.

---

When preparing release notes, please make sure 'documentation' and 'tutorials' occur as the last sub-categories under each primary category like 'new feature', 'improvements' or 'prototype'.

Things related to build are by default excluded from the release note, except when it impacts users. For example:
* Drop support of Python 3.7.
* Add support of Python 3.X.
* Change the way a third party library is bound (so that user needs to install it separately).