[ aramo ]
[ Kaynak: pytorch-audio ]
Paket: python3-torchaudio (0.7.2-1ubuntu2)
python3-torchaudio için bağlantılar
Trisquel Kaynakları:
pytorch-audio Kaynak Paketini İndir:
- [pytorch-audio_0.7.2-1ubuntu2.dsc]
- [pytorch-audio_0.7.2.orig.tar.gz]
- [pytorch-audio_0.7.2-1ubuntu2.debian.tar.xz]
Geliştirici:
Original Maintainers:
- Debian Deep Learning Team (Posta Arşivi)
- Mo Zhou
Dış Kaynaklar:
- Ana Sayfa [github.com]
Benzer paketler:
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.
python3-torchaudio ile İlgili Diğer Paketler
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- dep: libc6 (>= 2.32)
- GNU C Library: Shared libraries
ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
-
- 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)
-
- 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)
python3-torchaudio indir
| Mimari | Paket Boyutu | Kurulu Boyut | Dosyalar |
|---|---|---|---|
| arm64 | 226,5 kB | 847 kB | [dosya listesi] |