How to Install and Uninstall librocsparse-doc Package on Kali Linux
Last updated: November 07,2024
1. Install "librocsparse-doc" package
This is a short guide on how to install librocsparse-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
librocsparse-doc
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2. Uninstall "librocsparse-doc" package
Please follow the instructions below to uninstall librocsparse-doc on Kali Linux:
$
sudo apt remove
librocsparse-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the librocsparse-doc package on Kali Linux
Package: librocsparse-doc
Source: rocsparse
Version: 5.7.1-2
Installed-Size: 8083
Maintainer: Debian ROCm Team
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0+dfsg), libjs-mathjax
Size: 292024
SHA256: e79c12f9ec4163b0ebfd5a4cafe4934e5bea8868f02205f9bfb72d1e411b76a7
SHA1: 3fd6c82369850655b52f2369b1b96876ecc3f1c7
MD5sum: 5cc41c6d9c2adbd4104e2e4388ef941f
Description: ROCm library for sparse linear algebra - documentation
rocSPARSE is a library that implements BLAS operations for sparse data
structures. It is built on the AMD ROCm platform and optimized for
discrete AMD GPUs.
.
rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and
sparse level 3 BLAS functions, as well as general matrix multiplication
between dense and sparse matricies (GEMMI), sparse preconditioner functions,
sparse matrix format conversion functions, and sparse matrix reordering
functions.
.
It supports a variety of sparse matrix formats, including coordinate list
in either array of structure form (COO) or structure of array form (COO SOA),
compressed sparse row (CSR) or column (CSC), block compressed sparse row
(BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK
format (ELL).
.
This package provides the AMD ROCm rocSPARSE documentation.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/ROCm/rocSPARSE
Section: doc
Priority: optional
Filename: pool/main/r/rocsparse/librocsparse-doc_5.7.1-2_all.deb
Source: rocsparse
Version: 5.7.1-2
Installed-Size: 8083
Maintainer: Debian ROCm Team
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0+dfsg), libjs-mathjax
Size: 292024
SHA256: e79c12f9ec4163b0ebfd5a4cafe4934e5bea8868f02205f9bfb72d1e411b76a7
SHA1: 3fd6c82369850655b52f2369b1b96876ecc3f1c7
MD5sum: 5cc41c6d9c2adbd4104e2e4388ef941f
Description: ROCm library for sparse linear algebra - documentation
rocSPARSE is a library that implements BLAS operations for sparse data
structures. It is built on the AMD ROCm platform and optimized for
discrete AMD GPUs.
.
rocSPARSE provides a C99 API containing sparse level 1, sparse level 2 and
sparse level 3 BLAS functions, as well as general matrix multiplication
between dense and sparse matricies (GEMMI), sparse preconditioner functions,
sparse matrix format conversion functions, and sparse matrix reordering
functions.
.
It supports a variety of sparse matrix formats, including coordinate list
in either array of structure form (COO) or structure of array form (COO SOA),
compressed sparse row (CSR) or column (CSC), block compressed sparse row
(BSR), general block compressed sparse row (GEBSR), and the ELLPACK-ITPACK
format (ELL).
.
This package provides the AMD ROCm rocSPARSE documentation.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/ROCm/rocSPARSE
Section: doc
Priority: optional
Filename: pool/main/r/rocsparse/librocsparse-doc_5.7.1-2_all.deb