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[ Source: pytorch-audio ]
Paketti: python3-torchaudio (0.7.2-1ubuntu2)
Links for python3-torchaudio
Trisquel-palvelut:
Imuroi lähdekoodipaketti 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]
Ylläpitäjä:
Original Maintainers:
- Debian Deep Learning Team (Mail Archive)
- Mo Zhou
External Resources:
- Kotisivu [github.com]
Samankaltaisia paketteja:
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.
Muut pakettiin python3-torchaudio liittyvät paketit
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- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
myös näennäispaketti, jonka toteuttaa libc6-udeb
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- dep: libgcc-s1 (>= 3.3.1)
- GCC support library
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- dep: libsox3 (>= 14.4.2~)
- SoX library of audio effects and processing
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- dep: libstdc++6 (>= 11)
- GNU Standard C++ Library v3
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- dep: libtorch1.8 (>= 1.8.1)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.11)
- dep: python3 (>= 3.10~)
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- dep: python3-torch (>= 1.6.0)
- Tensors and Dynamic neural networks in Python (Python Interface)
Imuroi python3-torchaudio
| Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
|---|---|---|---|
| amd64 | 243.1 kt | 910 kt | [tiedostoluettelo] |