4.0.2

magic-research/GETAvatar4.0.2Nov 19, 2025by github-actions[bot]

AI Summary

This release addresses segmentation faults by pinning PyTorch versions, updates the pyannoteAI wrapper to return exclusive diarization, and adds convenience methods for CUDA and audio preloading.

Key Highlights

Pinned torch, torchcodec, and torchaudio versions to fix segmentation faults
Added `Pipeline.cuda()` convenience method
Added `preload` option to base `Pipeline.__call__`
Added CLI option to apply pipeline on a directory of audio files
Improved `permutate` performance with vectorized cost function

Breaking Changes

`Binarize.__call__` now returns `string` tracks instead of `int`

New Features

Pipeline.cuda() method
preload option
CLI directory processing
Exclusive diarization support

Full Release Notes

## What's Changed

- BREAKING(util): make `Binarize.__call__` return `string` tracks (instead of `int`) [@benniekiss](https://github.com/benniekiss/)
- fix(torch): pin `torch`, `torchcodec`, and `torchaudio` versions to [avoid segmentation fault](https://github.com/meta-pytorch/torchcodec/issues/995) 
- fix(pyannoteAI): update pyannoteAI wrapper to return both regular and exclusive diarization
- feat(pipeline): add `Pipeline.cuda()` convenience method [@tkanarsky](https://github.com/tkanarsky/)
- feat(pipeline): add `preload` option to base `Pipeline.__call__` to force preloading audio in memory ([@antoinelaurent](https://github.com/antoinelaurent/))
- feat(cli): add option to apply pipeline on a directory of audio files
- improve(util): make `permutate` faster thanks to vectorized cost function

## New Contributors
* @tkanarsky made their first contribution in https://github.com/pyannote/pyannote-audio/pull/1950

**Full Changelog**: https://github.com/pyannote/pyannote-audio/compare/4.0.1...4.0.2