套件:python3-torchaudio(0.13.1-1 以及其他的)
python3-torchaudio 的相關連結
Debian 的資源:
下載原始碼套件 pytorch-audio:
- [pytorch-audio_0.13.1-1.dsc]
- [pytorch-audio_0.13.1.orig.tar.gz]
- [pytorch-audio_0.13.1-1.debian.tar.xz]
維護小組:
外部的資源:
- 主頁 [github.com]
相似套件:
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.
其他與 python3-torchaudio 有關的套件
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- dep: libavcodec60 (>= 7:6.0) [除 hppa]
- FFmpeg library with de/encoders for audio/video codecs - runtime files
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- dep: libavdevice60 (>= 7:6.0) [除 hppa]
- FFmpeg library for handling input and output devices - runtime files
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- dep: libavfilter9 (>= 7:6.0) [除 hppa]
- FFmpeg library containing media filters - runtime files
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- dep: libavformat60 (>= 7:6.0) [除 hppa]
- FFmpeg library with (de)muxers for multimedia containers - runtime files
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- dep: libavutil58 (>= 7:6.0) [除 hppa]
- FFmpeg library with functions for simplifying programming - runtime files
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- dep: libc6 (>= 2.32)
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
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- dep: libgcc-s1 (>= 3.0) [除 hppa, riscv64]
- GCC 支援函式庫
- dep: libgcc-s1 (>= 3.4) [riscv64]
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- dep: libgcc-s4 (>= 4.1.1) [hppa]
- GCC 支援函式庫
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- dep: libgomp1 (>= 4.9) [除 hppa]
- GCC OpenMP (GOMP) support library
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- dep: libgoogle-glog0v6 (>= 0.6.0) [riscv64]
- library that implements application-level logging.
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- dep: libsox3 (>= 14.4.2~)
- SoX library of audio effects and processing
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- dep: libstdc++6 (>= 11) [hppa]
- GNU Standard C++ Library v3
- dep: libstdc++6 (>= 13.1) [除 hppa]
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- dep: libtorch1.13 (>= 1.13.1+dfsg) [riscv64]
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: libtorch1.8 (>= 1.8.1) [hppa]
- Tensors and Dynamic neural networks in Python with strong GPU acceleration
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- dep: libtorch2.0 (>= 2.0.1+dfsg) [除 hppa, riscv64]
- 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 (<< 3.10) [hppa]
- dep: python3 (>= 3.9~) [hppa]
- dep: python3 (>= 3~) [除 hppa]
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- dep: python3-torch (>= 1.12.0~) [除 hppa]
- Tensors and Dynamic neural networks in Python (Python Interface)
- dep: python3-torch (>= 1.6.0) [hppa]
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- dep: python3.11 [除 hppa]
- Interactive high-level object-oriented language (version 3.11)
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- dep: python3.9 [hppa]
- 套件暫時不可用
下載 python3-torchaudio
硬體架構 | 版本 | 套件大小 | 安裝後大小 | 檔案 |
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amd64 | 0.13.1-1+b2 | 558。3 kB | 2,620。0 kB | [檔案列表] |
arm64 | 0.13.1-1+b2 | 503。1 kB | 2,598。0 kB | [檔案列表] |
hppa (非官方移植版) | 0.7.2-1+b2 | 245。1 kB | 1,085。0 kB | [檔案列表] |
ppc64el | 0.13.1-1+b2 | 545。0 kB | 2,918。0 kB | [檔案列表] |
riscv64 (非官方移植版) | 0.13.1-1+b1 | 542。5 kB | 2,284。0 kB | [檔案列表] |
s390x | 0.13.1-1+b2 | 535。9 kB | 2,646。0 kB | [檔案列表] |