Pakket: python3-torchaudio (2.6.0-1)

Verwijzigingen voor python3-torchaudio

Debian bronnen:

Het bronpakket pytorch-audio downloaden:

Beheerders:

Externe bronnen:

Homepage [github.com]

Vergelijkbare pakketten:

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

depends

recommends

suggests

enhances

dep: libc6 (>= 2.32)

GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
dep: libgcc-s1 (>= 3.0) [niet riscv64]

GCC support bibliotheek

dep: libgcc-s1 (>= 3.4) [riscv64]
dep: libgomp1 (>= 4.9)

GCC OpenMP (GOMP) support library
dep: libsox3 (>= 14.4.2~)

SoX library of audio effects and processing
dep: libstdc++6 (>= 14)

GNU Standard C++ Library v3
dep: libtorch2.6 (>= 2.6.0+dfsg)

Tensors and Dynamic neural networks in Python (Shared Objects)

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

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: python3

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

dep: python3 (>= 3~)
dep: python3-torch

Tensors and Dynamic neural networks in Python (Python Interface)

of python3-torch-cuda

Tensors and Dynamic neural networks in Python (Python Interface)

python3-torchaudio downloaden

Pakket downloaden voor alle beschikbare platforms
Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
amd64	511,9 kB	2.605,0 kB	[overzicht]
arm64	465,2 kB	2.594,0 kB	[overzicht]
ppc64el	504,5 kB	2.850,0 kB	[overzicht]
riscv64	505,6 kB	2.346,0 kB	[overzicht]
s390x	503,7 kB	2.622,0 kB	[overzicht]