Paket: python3-torchaudio (2.6.0-1)

python3-torchaudio için bağlantılar

Debian Kaynakları:

pytorch-audio Kaynak Paketini İndir:

Geliştiriciler:

Dış Kaynaklar:

Ana Sayfa [github.com]

Benzer paketler:

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.

python3-torchaudio ile İlgili Diğer Paketler

bağımlılıklar

tavsiye edilen

önerilen

enhances

dep: libc6 (>= 2.32)

GNU C Library: Shared libraries
ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
dep: libgcc-s1 (>= 3.0) [riscv64 değil]

GCC support library

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)

ya da 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)

ya da python3-torch-cuda

Tensors and Dynamic neural networks in Python (Python Interface)

python3-torchaudio indir

Tüm mevcut mimariler için indir
Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	511,9 kB	2.605,0 kB	[dosya listesi]
arm64	465,2 kB	2.594,0 kB	[dosya listesi]
ppc64el	504,5 kB	2.850,0 kB	[dosya listesi]
riscv64	505,6 kB	2.346,0 kB	[dosya listesi]
s390x	503,7 kB	2.622,0 kB	[dosya listesi]