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Revise VGGish pipeline to accept arbitrary state dict function #3531
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Summary: Revises VGGish pipeline to accept arbitrary state dict function to accommodate loading weights from any source. Differential Revision: D48056390 fbshipit-source-id: a0fa46c4ca266a49db3b73c2809f68d979d2fa26
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/audio/3531
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit a934f25: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This pull request was exported from Phabricator. Differential Revision: D48056390 |
Just to double check, the purpose is to allow bundle instances to fetch data from places other than download.pytorch.org, right? |
right |
This pull request has been merged in b976c8f. |
Hey @None. 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:
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: |
Summary: Revises VGGish pipeline to accept arbitrary state dict function to accommodate loading weights from any source.
Differential Revision: D48056390