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[ Paquet source : pytorch-audio ]
Paquet : python3-torchaudio (2.6.0-1)
Liens pour python3-torchaudio
Télécharger le paquet source pytorch-audio :
Responsables :
Ressources externes :
- Page d'accueil [github.com]
Paquets similaires :
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.
Autres paquets associés à python3-torchaudio
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- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
un paquet virtuel est également fourni par libc6-udeb
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- dep: libgcc-s1 (>= 3.0)
- GCC support library
-
- dep: libgomp1 (>= 4.9)
- GCC OpenMP (GOMP) support library
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- dep: libsox3 (>= 14.4.2~)
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: libtorch2.6 (>= 2.6.0+dfsg)
- Tensors and Dynamic neural networks in Python (Shared Objects)
- ou libtorch-cuda-2.6 (>= 2.6.0+dfsg)
- Paquet indisponible
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- dep: python3
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- dep: python3 (>= 3~)
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- dep: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)
- ou python3-torch-cuda
- Paquet indisponible
Télécharger python3-torchaudio
| Architecture | Taille du paquet | Espace occupé une fois installé | Fichiers |
|---|---|---|---|
| amd64 | 511,9 ko | 2 605,0 ko | [liste des fichiers] |
| arm64 | 465,2 ko | 2 594,0 ko | [liste des fichiers] |