软件包:python3-torchaudio(0.7.2-1)
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
|
|
|
|
-
- dep: libc6 (>= 2.14) [amd64]
- GNU C 语言运行库:共享库
同时作为一个虚包由这些包填实: libc6-udeb
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.22) [ppc64el]
- dep: libc6 (>= 2.4) [armhf, s390x]
-
- dep: libgcc-s1 (>= 3.0) [除 armhf]
- GCC 支持库
- dep: libgcc-s1 (>= 3.5) [armhf]
-
- dep: libsox3 (>= 14.4.2~)
- SoX library of audio effects and processing
-
- dep: libstdc++6 (>= 5.2) [armhf]
- GNU 标准 C++ 库,第3版
- dep: libstdc++6 (>= 9) [除 armhf]
-
- dep: libtorch1.7 (>= 1.7.1)
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
- dep: python3
- 交互式高级面向对象语言(默认 python3 版本)
- dep: python3 (<< 3.10)
- dep: python3 (>= 3.9~)
-
- dep: python3-torch (>= 1.6.0)
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
- dep: python3.9
- 交互式高级面向对象语言(3.9 版本)