Pakket: python3-torchaudio (0.7.2-1)

[ Bron: 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.

Andere aan python3-torchaudio gerelateerde pakketten

• dep: libc6 (>= 2.14) [amd64]

  GNU C Bibliotheek: Gedeelde bibliotheken
  Ook een virtueel pakket geboden door: libc6-udeb

  dep: libc6 (>= 2.17) [arm64]

  dep: libc6 (>= 2.22) [ppc64el]

  dep: libc6 (>= 2.4) [armhf, s390x]

• dep: libgcc-s1 (>= 3.0) [niet armhf]

  GCC support bibliotheek

  dep: libgcc-s1 (>= 3.5) [armhf]

• dep: libsox3 (>= 14.4.2~)

  SoX library of audio effects and processing

• dep: libstdc++6 (>= 5.2) [armhf]

  GNU Standard C++ Library v3

  dep: libstdc++6 (>= 9) [niet armhf]

• dep: libtorch1.7 (>= 1.7.1)

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.10)

  dep: python3 (>= 3.9~)

• dep: python3-torch (>= 1.6.0)

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

• dep: python3.9

  Interactive high-level object-oriented language (version 3.9)

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Pakket downloaden voor alle beschikbare platforms

Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
amd64	244,8 kB	1.010,0 kB	[overzicht]
arm64	226,2 kB	983,0 kB	[overzicht]
armhf	222,4 kB	822,0 kB	[overzicht]
ppc64el	242,2 kB	1.115,0 kB	[overzicht]
s390x	225,9 kB	1.039,0 kB	[overzicht]