Paquet : python3-torchaudio (0.7.2-1ubuntu2)
Liens pour python3-torchaudio
Ressources Trisquel :
Télécharger le paquet source pytorch-audio :
- [pytorch-audio_0.7.2-1ubuntu2.dsc]
- [pytorch-audio_0.7.2.orig.tar.gz]
- [pytorch-audio_0.7.2-1ubuntu2.debian.tar.xz]
Responsable :
Original Maintainers:
- Debian Deep Learning Team (Archive du courrier électronique)
- Mo Zhou
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
|
|
|
-
- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
un paquet virtuel est également fourni par libc6-udeb
-
- dep: libgcc-s1 (>= 3.3.1)
- GCC support library
-
- dep: libsox3 (>= 14.4.2~)
- SoX library of audio effects and processing
-
- dep: libstdc++6 (>= 11)
- GNU Standard C++ Library v3
-
- dep: libtorch1.8 (>= 1.8.1)
- Tensors and Dynamic neural networks in Python (Shared Objects)
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.11)
- dep: python3 (>= 3.10~)
-
- dep: python3-torch (>= 1.6.0)
- Tensors and Dynamic neural networks in Python (Python Interface)
Télécharger python3-torchaudio
Architecture | Taille du paquet | Espace occupé une fois installé | Fichiers |
---|---|---|---|
arm64 | 226,5 ko | 847 ko | [liste des fichiers] |