[ aramo ]
[ 源代码: pytorch-audio ]
软件包: python3-torchaudio (0.7.2-1ubuntu2)
python3-torchaudio 的相关链接
Trisquel 的资源:
下载源码包 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]
维护者:
Original Maintainers:
- Debian Deep Learning Team (Mail Archive)
- Mo Zhou
外部的资源:
- 主页 [github.com]
相似软件包:
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.
其他与 python3-torchaudio 有关的软件包
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- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
同时作为一个虚包由这些包填实: 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)