Data manipulation and transformation for audio signal processing, powered by PyTorch
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).
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).
To install py314-torchaudio, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py314-torchaudio
To see what files were installed by py314-torchaudio, run:
port contents py314-torchaudio
To later upgrade py314-torchaudio, run:
sudo port selfupdate && sudo port upgrade py314-torchaudio
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