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[ Pakiet źródłowy: pytorch-audio  ]

Pakiet: python3-torchaudio (0.7.2-1ubuntu2)

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.

Inne pakiety związane z python3-torchaudio

  • wymaga
  • poleca
  • sugeruje
  • dep: libc6 (>= 2.32)
    GNU C Library: Shared libraries
    również pakiet wirtualny udostępniany przez libc6-udeb
  • dep: libgcc-s1 (>= 3.3.1)
    GCC support library
  • dep: libsox3 (>= 14.4.2~)
    SoX library of audio effects and processing
  • dep: libstdc++6 (>= 11)
    GNU Standard C++ Library v3
  • 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~)
  • dep: python3-torch (>= 1.6.0)
    Tensors and Dynamic neural networks in Python (Python Interface)

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