Package: python3-torchaudio (2.6.0-1)

[ Source: pytorch-audio  ]

Data manipulation and transformation for audio signal processing

The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the same philosophy of providing strong GPU acceleration, having a focus on trainable features through the autograd system, and having consistent style (tensor names and dimension names). Therefore, it is primarily a machine learning library and not a general signal processing library. The benefits of Pytorch is be seen in torchaudio through having all the computations be through Pytorch operations which makes it easy to use and feel like a natural extension.

Other Packages Related to python3-torchaudio

• dep: libc6 (>= 2.32)

  GNU C-bibliotek: Delte biblioteker
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0) [not riscv64]

  GCC støttebibliotek

  dep: libgcc-s1 (>= 3.4) [riscv64]

• dep: libgomp1 (>= 4.9)

  GCC OpenMP-understøttelsesbibliotek (GOMP)

• dep: libsox3 (>= 14.4.2~)

  SoX-bibliotek for lydeffekter og -behandling

• dep: libstdc++6 (>= 14)

  GNU Standard C++ bibliotek v3

• dep: libtorch2.6 (>= 2.6.0+dfsg)

  Tensorer og dynamiske neurale netværk i Python - delte objekter

  or libtorch-cuda-2.6 (>= 2.6.0+dfsg)

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: python3

  Interaktivt objektorienteret højniveausprog - standardversion af Python 3

  dep: python3 (>= 3~)

• dep: python3-torch

  Tensorer og dynamiske neurale netværk i Python - Pythongrænseflade

  or python3-torch-cuda

  Tensors and Dynamic neural networks in Python (Python Interface)

Download python3-torchaudio

Download for all available architectures

Architecture	Package Size	Installed Size	Files
amd64	511.9 kB	2,605.0 kB	[list of files]
arm64	465.2 kB	2,594.0 kB	[list of files]
ppc64el	504.5 kB	2,850.0 kB	[list of files]
riscv64	505.6 kB	2,346.0 kB	[list of files]
s390x	503.7 kB	2,622.0 kB	[list of files]