How to Install and Uninstall libtensorpipe-cuda-0 Package on Kali Linux
Last updated: November 24,2024
1. Install "libtensorpipe-cuda-0" package
Learn how to install libtensorpipe-cuda-0 on Kali Linux
$
sudo apt update
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$
sudo apt install
libtensorpipe-cuda-0
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2. Uninstall "libtensorpipe-cuda-0" package
This tutorial shows how to uninstall libtensorpipe-cuda-0 on Kali Linux:
$
sudo apt remove
libtensorpipe-cuda-0
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libtensorpipe-cuda-0 package on Kali Linux
Package: libtensorpipe-cuda-0
Source: tensorpipe-cuda
Version: 0.0~git20220513.bb1473a-5
Installed-Size: 4172
Maintainer: Debian Deep Learning Team
Architecture: amd64
Replaces: libtensorpipe0
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 12), libuv1 (>= 1.18.0)
Conflicts: libtensorpipe0
Size: 894796
SHA256: 1ccb097e8953335a11d08c91b6618619a5ad666817f69bb63c2dacb33e83b00a
SHA1: 522ba36aacae69ad049cdb6dda2220e7d19409d6
MD5sum: 77f93a316a603faa2cb7aa173a480d9f
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 shared objects.
Description-md5:
Multi-Arch: same
Homepage: https://github.com/pytorch/tensorpipe
Section: contrib/libs
Priority: optional
Filename: pool/contrib/t/tensorpipe-cuda/libtensorpipe-cuda-0_0.0~git20220513.bb1473a-5_amd64.deb
Source: tensorpipe-cuda
Version: 0.0~git20220513.bb1473a-5
Installed-Size: 4172
Maintainer: Debian Deep Learning Team
Architecture: amd64
Replaces: libtensorpipe0
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 12), libuv1 (>= 1.18.0)
Conflicts: libtensorpipe0
Size: 894796
SHA256: 1ccb097e8953335a11d08c91b6618619a5ad666817f69bb63c2dacb33e83b00a
SHA1: 522ba36aacae69ad049cdb6dda2220e7d19409d6
MD5sum: 77f93a316a603faa2cb7aa173a480d9f
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 shared objects.
Description-md5:
Multi-Arch: same
Homepage: https://github.com/pytorch/tensorpipe
Section: contrib/libs
Priority: optional
Filename: pool/contrib/t/tensorpipe-cuda/libtensorpipe-cuda-0_0.0~git20220513.bb1473a-5_amd64.deb