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[ Fonte: pytorch-audio  ]

Pacote: python3-torchaudio (2.6.0-1)

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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.

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Arquitetura Tamanho do pacote Tamanho instalado Arquivos
amd64 511.9 kB2,605.0 kB [lista de arquivos]
arm64 465.2 kB2,594.0 kB [lista de arquivos]
ppc64el 504.5 kB2,850.0 kB [lista de arquivos]
riscv64 505.6 kB2,346.0 kB [lista de arquivos]
s390x 503.7 kB2,622.0 kB [lista de arquivos]