Paket: python3-torchaudio (2.9.1-1)

[ Kaynak: pytorch-audio  ]

Deneysel paket

Uyarı: Bu paket deneysel dağıtımdan geliyor. Bu, paketin kararsız veya hatalı olabileceği hatta veri kaybına sebep olabileceği anlamına gelmektedir. Lütfen kullanmadan önce değişim günlüğüne ve muhtemel diğer belgelendirmeye danıştığınızdan emin olun.

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

• dep: libc6 (>= 2.32)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC support library

• dep: libgomp1 (>= 4.9)

  GCC OpenMP (GOMP) support library

• dep: libstdc++6 (>= 14)

  GNU Standard C++ Library v3

• dep: libtorch2.9 (>= 2.9.1+dfsg)

  Tensors and Dynamic neural networks in Python (Shared Objects)

  ya da libtorch-cuda-2.9 (>= 2.9.1+dfsg)

  Paket mevcut değil

  ya da libtorch-rocm-2.9 (>= 2.9.1+dfsg)

  Paket mevcut değil

• dep: python3

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

• 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)

  ya da python3-torch-rocm

  Paket mevcut değil

python3-torchaudio indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	345,8 kB	1.692,0 kB	[dosya listesi]