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[ Source: pytorch-audio ]
Package: python3-torchaudio (0.7.2-1ubuntu2)
Links for python3-torchaudio
Trisquel Resources:
Download Source Package 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]
Maintainer:
Original Maintainers:
- Debian Deep Learning Team (Mail Archive)
- Mo Zhou
External Resources:
- Homepage [github.com]
Similar packages:
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.
Other Packages Related to python3-torchaudio
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- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
also a virtual package provided by 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)
Download python3-torchaudio
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 243.1 kB | 910 kB | [list of files] |
| arm64 | 226.5 kB | 847 kB | [list of files] |
| ppc64el | 242.6 kB | 987 kB | [list of files] |