How to Install and Uninstall libtensorpipe-cuda-dev Package on Kali Linux
Last updated: November 23,2024
1. Install "libtensorpipe-cuda-dev" package
Please follow the guidance below to install libtensorpipe-cuda-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libtensorpipe-cuda-dev
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2. Uninstall "libtensorpipe-cuda-dev" package
Learn how to uninstall libtensorpipe-cuda-dev on Kali Linux:
$
sudo apt remove
libtensorpipe-cuda-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libtensorpipe-cuda-dev package on Kali Linux
Package: libtensorpipe-cuda-dev
Source: tensorpipe-cuda
Version: 0.0~git20220513.bb1473a-5
Installed-Size: 124
Maintainer: Debian Deep Learning Team
Architecture: amd64
Replaces: libtensorpipe-dev
Depends: libtensorpipe-cuda-0 (= 0.0~git20220513.bb1473a-5), libnop-dev
Conflicts: libtensorpipe-dev
Size: 17624
SHA256: ac0bae3a17f8213b26bf2c25627c8dcf1e1b843d1a4b03683fec0fdd3ea568e0
SHA1: abee25f65b0b56ba9eccef4fcfbb329aac72d52b
MD5sum: e28b50f2376278a3ad281d0aeb7afad6
Description: tensor-aware point-to-point communication primitive for machine learning
The TensorPipe project provides a tensor-aware channel to transfer rich
objects from one process to another while using the fastest transport for the
tensors contained therein (e.g., CUDA device-to-device copy).
.
This package contains development files.
Description-md5:
Homepage: https://github.com/pytorch/tensorpipe
Section: contrib/libdevel
Priority: optional
Filename: pool/contrib/t/tensorpipe-cuda/libtensorpipe-cuda-dev_0.0~git20220513.bb1473a-5_amd64.deb
Source: tensorpipe-cuda
Version: 0.0~git20220513.bb1473a-5
Installed-Size: 124
Maintainer: Debian Deep Learning Team
Architecture: amd64
Replaces: libtensorpipe-dev
Depends: libtensorpipe-cuda-0 (= 0.0~git20220513.bb1473a-5), libnop-dev
Conflicts: libtensorpipe-dev
Size: 17624
SHA256: ac0bae3a17f8213b26bf2c25627c8dcf1e1b843d1a4b03683fec0fdd3ea568e0
SHA1: abee25f65b0b56ba9eccef4fcfbb329aac72d52b
MD5sum: e28b50f2376278a3ad281d0aeb7afad6
Description: tensor-aware point-to-point communication primitive for machine learning
The TensorPipe project provides a tensor-aware channel to transfer rich
objects from one process to another while using the fastest transport for the
tensors contained therein (e.g., CUDA device-to-device copy).
.
This package contains development files.
Description-md5:
Homepage: https://github.com/pytorch/tensorpipe
Section: contrib/libdevel
Priority: optional
Filename: pool/contrib/t/tensorpipe-cuda/libtensorpipe-cuda-dev_0.0~git20220513.bb1473a-5_amd64.deb