sci-ml/torchaudio (bentoo)

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Install

Install this package:

emerge -a sci-ml/torchaudio

Package Information

Description:
Audio transforms, filters, forced alignment and RNN-T loss for PyTorch. Upstream entered a maintenance phase with 2.9 and removed its own media I/O; loading and saving now go through sci-ml/torchcodec.
Homepage:
https://github.com/pytorch/audio
License:
BSD-2 cuda? ( BSD Apache-2.0 )

Versions

Version EAPI Keywords Slot
2.11.0 8 ~amd64 ~arm64 0

Metadata

Description

Maintainers

Upstream

Raw Metadata XML
<pkgmetadata>
	<maintainer type="person">
		<email>lucascs@protonmail.com</email>
		<name>Lucas C.S.</name>
	</maintainer>
	<longdescription lang="en">
		Audio transforms, filters, forced alignment and RNN-T loss for
		PyTorch. Upstream entered a maintenance phase with 2.9 and removed
		its own media I/O; loading and saving now go through
		sci-ml/torchcodec.
	</longdescription>
	<use>
		<flag name="cuda">Build the CUDA kernels (RNN-T loss, forced alignment, IIR filter) and the CUDA CTC decoder</flag>
	</use>
	<upstream>
		<bugs-to>https://github.com/pytorch/audio/issues</bugs-to>
		<remote-id type="github">pytorch/audio</remote-id>
		<remote-id type="pypi">torchaudio</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

USE Flags

Manage flags for this package: euse -i <flag> -p sci-ml/torchaudio | euse -E <flag> -p sci-ml/torchaudio | euse -D <flag> -p sci-ml/torchaudio

Flag Description 2.11.0
cuda Build the CUDA kernels (RNN-T loss, forced alignment, IIR filter) and the CUDA CTC decoder ✓

Manifest

Type File Size Versions
DIST torchaudio-2.11.0.gh.tar.gz 74293948 bytes 2.11.0
Unmatched Entries
Type File Size