Source: miopen Section: devel Homepage: https://github.com/ROCm/rocm-libraries/ Priority: optional Standards-Version: 4.7.4 Vcs-Git: https://salsa.debian.org/rocm-team/miopen.git Vcs-Browser: https://salsa.debian.org/rocm-team/miopen Maintainer: Debian ROCm Team Uploaders: Cordell Bloor , Xuanteng Huang , Christian Kastner , Christian Bayle , Talha Can Havadar Build-Depends: debhelper-compat (= 13), chrpath, clang-22, clang-tools-22, cmake, hipcc (>= 7.2.3~), libboost-filesystem-dev, libbz2-dev, libclang-common-22-dev, libeigen3-dev, libfdeep-dev, libfplus-dev, libgmock-dev, libgtest-dev, libhalf-dev, libhipblas-dev (>= 7.2.3~), libhiprtc-builtins7 (>= 7.1.0~), librocblas-dev (>= 7.2.3~), librocrand-dev (>= 7.2.2~), libroctx-dev (>= 7.2.3~), libsqlite3-dev, libzstd-dev, nlohmann-json3-dev, pkgconf, rocm-cmake (>= 7.1.0~), zlib1g-dev Build-Depends-Indep: dh-sequence-sphinxdoc , libjs-jquery , libjs-mathjax , libjs-sphinxdoc , libjs-underscore , python3-doxysphinx , python3-rocm-docs (>= 1.20.0-1~) , python3-sphinx-external-toc Rules-Requires-Root: no Package: libmiopen1 Section: libs Architecture: amd64 arm64 Depends: libclang-common-22-dev, libhiprtc-builtins7, libmiopen-tests-data (= ${source:Version}), ${misc:Depends}, ${shlibs:Depends} Description: ROCm library for machine learning primitives - library MIOpen is a library for machine learning on AMD GPUs. It provides high-performance primitives for a number of operations, including convolutions, batch normalization, pooling layers, and softmax layers for Recurrent Neural Networks. HIP and OpenCL are both supported as programming models. . This package provides the AMD ROCm MIOpen library. Package: libmiopen-tests-data Section: libs Architecture: all Multi-Arch: foreign Depends: ${misc:Depends} Description: ROCm library for machine learning primitives - system database MIOpen is a library for machine learning on AMD GPUs. It provides high-performance primitives for a number of operations, including convolutions, batch normalization, pooling layers, and softmax layers for Recurrent Neural Networks. HIP and OpenCL are both supported as programming models. . This package provides the MIOpen pre-tuned performance database for supported AMD GPU architectures. Package: libmiopen-dev Section: libdevel Architecture: amd64 arm64 Depends: libmiopen1 (= ${binary:Version}), ${misc:Depends}, ${shlibs:Depends} Description: ROCm library for machine learning primitives - headers MIOpen is a library for machine learning on AMD GPUs. It provides high-performance primitives for a number of operations, including convolutions, batch normalization, pooling layers, and softmax layers for Recurrent Neural Networks. HIP and OpenCL are both supported as programming models. . This package provides the AMD ROCm MIOpen development headers. Package: libmiopen1-tests Section: libdevel Architecture: amd64 arm64 Depends: libmiopen1 (= ${binary:Version}), python3:any, ${misc:Depends}, ${shlibs:Depends} Description: ROCm library for machine learning primitives - tests MIOpen is a library for machine learning on AMD GPUs. It provides high-performance primitives for a number of operations, including convolutions, batch normalization, pooling layers, and softmax layers for Recurrent Neural Networks. HIP and OpenCL are both supported as programming models. . This package provides the AMD ROCm MIOpen driver and unit tests executable. Package: libmiopen-doc Section: doc Architecture: all Multi-Arch: foreign Build-Profiles: Depends: libjs-jquery, libjs-mathjax, ${misc:Depends}, ${sphinxdoc:Depends} Description: ROCm library for machine learning primitives - documentation MIOpen is a library for machine learning on AMD GPUs. It provides high-performance primitives for a number of operations, including convolutions, batch normalization, pooling layers, and softmax layers for Recurrent Neural Networks. HIP and OpenCL are both supported as programming models. . This package provides the AMD ROCm MIOpen documentation.