How to Install and Uninstall python3-torchaudio Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "python3-torchaudio" package

Please follow the step by step instructions below to install python3-torchaudio on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-torchaudio

2. Uninstall "python3-torchaudio" package

This tutorial shows how to uninstall python3-torchaudio on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-torchaudio $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-torchaudio package on Ubuntu 21.10 (Impish Indri)

Package: python3-torchaudio
Architecture: amd64
Version: 0.7.2-1
Priority: optional
Section: universe/science
Source: pytorch-audio
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1026
Depends: python3-torch (>= 1.6.0), python3 (<< 3.10), python3 (>= 3.9~), python3.9, python3:any, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libsox3 (>= 14.4.2~), libstdc++6 (>= 9), libtorch1.7 (>= 1.7.1)
Filename: pool/universe/p/pytorch-audio/python3-torchaudio_0.7.2-1_amd64.deb
Size: 251616
MD5sum: 84ffa67e3ef750302dc3ea0a8d9bfa8f
SHA1: 1523c17716a07ce6276d00c832768030c4a27453
SHA256: e8be3799b0af550384932d2f829fcca43a2458b6a1e7e4736ac7bbf000b6b40c
SHA512: aa81c8488970a2ced09c912583e5b662dc9215572cae9d57edffd6db8f16536e9521ed3b022279d412b10d7cd4abbf5c6870717ddac933074525960b170386b9
Homepage: https://github.com/pytorch/audio
Description-en: 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.
Description-md5: 541075484ee5c457cf85ce07d6b338db