3.2.0

## New features

- feat(task): add option to cache task training metadata to speed up training (with [@clement-pages](https://github.com/clement-pages/))
- feat(model): add `receptive_field`, `num_frames` and `dimension` to models (with [@Bilal-Rahou](https://github.com/Bilal-Rahou))
- feat(model): add `fbank_only` property to `WeSpeaker` models
- feat(util): add `Powerset.permutation_mapping` to help with permutation in powerset space (with [@FrenchKrab](https://github.com/FrenchKrab))
- feat(sample): add sample file at `pyannote.audio.sample.SAMPLE_FILE`
- feat(metric): add `reduce` option to `diarization_error_rate` metric (with [@Bilal-Rahou](https://github.com/Bilal-Rahou))
- feat(pipeline): add `Waveform` and `SampleRate` preprocessors

## Fixes

- fix(task): fix random generators and their reproducibility (with [@FrenchKrab](https://github.com/FrenchKrab))
- fix(task): fix estimation of training set size (with [@FrenchKrab](https://github.com/FrenchKrab))
- fix(hook): fix `torch.Tensor` support in `ArtifactHook`
- fix(doc): fix typo in `Powerset` docstring (with [@lukasstorck](https://github.com/lukasstorck))

## Improvements

- improve(metric): add support for number of speakers mismatch in `diarization_error_rate` metric
- improve(pipeline): track both `Model` and `nn.Module` attributes in `Pipeline.to(device)`
- improve(io): switch to `torchaudio >= 2.2.0`
- improve(doc): update tutorials (with [@clement-pages](https://github.com/clement-pages/))

## Breaking changes

- BREAKING(model): get rid of `Model.example_output` in favor of `num_frames` method, `receptive_field` property, and `dimension` property
- BREAKING(task): custom tasks need to be updated (see "Add your own task" tutorial)

## Community contributions

- community: add tutorial for offline use of `pyannote/speaker-diarization-3.1` (by [@simonottenhauskenbun](https://github.com/simonottenhauskenbun))