chore(deps-dev): bump torchaudio from 2.4.0 to 2.11.0

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Bumps torchaudio from 2.4.0 to 2.11.0.

Release notes

Sourced from torchaudio's releases.

TorchAudio 2.11

This release is compatible with torch 2.11 and is compatible with future versions of torch. No new features were added.

TorchAudio 2.10

This release is compatible with torch 2.10. No new features were added.

The C++ and CUDA extensions that were previously marked for deprecation are preserved and will remain in torchaudio (lfilter, RNNTLoss, CUCT, forced_align, and overdrive.).

This release marks the finalization of the TorchAudio migration described in pytorch/audio#3902.

TorchAudio 2.9.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

TorchAudio 2.9 release

Deprecated APIs

Most APIs marked as drop are now removed.

Migration of load() and save() to TorchCodec

We are consolidating the decoding and encoding capabilities of PyTorch in TorchCodec. torchaudio.load() and torchaudio.save() still exist, but their underlying implementation now relies on TorchCodec.

C++ and CUDA extension

We're still working towards preserving forced_align, lfilter, overdrive, RNNT, and CUCTC.

TorchAudio 2.8.0 release

Copy pasting update from pytorch/audio#3902:

Deprecated APIs

Most APIs marked as "Drop" are now explicitly deprecated, raising deprecation warnings in the docs, and when using them from Python. They will be removed in the next 2.9 version.

Migration of load() and save() to TorchCodec

As we mentioned, we are consolidating the decoding and encoding capabilities of PyTorch in TorchCodec.

torchaudio.load() and torchaudio.save() are some of the most popular TorchAudio APIs, so for convenience we are providing torchaudio.load_with_torchcodec() and torchaudio.save_with_torchcodec(), which can largely be used as drop-in replacements. However, we do encourage users to directly migrate to TorchCodec's AudioDecoder() and AudioEncoder().

In future versions, torchaudio.load() and torchaudio.save() will still exist, but their underlying implementation will be relying on torchaudio.load_with_torchcodec() and torchaudio.save_with_torchcodec().

We hope for this migration to be as smooth as possible - most users should just need to pip install torchcodec, and things should still work as-is.

TorchCodec doesn't support Windows yet, but we're working hard on it. Please bear with us.

... (truncated)

Commits

• 34c52a6 [Release 2.11] update test-infra refs and version (#4178)
• 96200d4 Retain init args as attributes in MelScale and InverseMelScale (#4126)
• e284e58 Remove pinning against torch version (#4171)
• e123269 Fix building on GCC 14.2 (#4163)
• d17635f Update version to 2.11 (#4167)
• cc9f515 Fix CMUARCTIC text transcripts reader. (#4164)
• ad99271 Fix unused-variable issues, mostly relating to AMD/HIP
• 0764cfd Upgrade GitHub Actions for Node 24 compatibility (#4156)
• fbf1d75 [Python STABLE ABI] Port pybind11 extension modules to torch stable libraries...
• 744912e Update JIT checks for scripting and tracing (#4160)
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