rocsparse 5.7.1-4 source package in Ubuntu

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rocsparse (5.7.1-4) unstable; urgency=medium

  * Use python3-myst-nb to build rocsparse documents

 -- Xuanteng Huang <email address hidden>  Wed, 15 May 2024 14:36:42 +0800

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Uploaded by:
Debian Deep Learning Team
Uploaded to:
Sid
Original maintainer:
Debian Deep Learning Team
Architectures:
amd64 arm64 ppc64el all
Section:
misc
Urgency:
Medium Urgency

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Binary packages built by this source

librocsparse-dev: ROCm library for sparse linear algebra - headers

 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 development headers.

librocsparse-doc: 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.

librocsparse0: ROCm library for sparse linear algebra - library

 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 library.

librocsparse0-dbgsym: debug symbols for librocsparse0
librocsparse0-tests: ROCm library for sparse linear algebra - tests

 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 test binaries used for verifying
 that the library is functioning correctly. These binaries are only used to
 check whether rocSPARSE works correctly on a given GPU, so generally speaking,
 users probably don't need this package.

librocsparse0-tests-data: ROCm library for sparse linear algebra - test data

 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 data files required by the AMD ROCm rocSPARSE tests.
 The tests are only used to check whether rocSPARSE works correctly on a given
 GPU, so generally speaking, users probably don't need this package.

librocsparse0-tests-dbgsym: debug symbols for librocsparse0-tests