Source: mkl-dnn
Section: science
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Mo Zhou <cdluminate@gmail.com>
Build-Depends: cmake, debhelper-compat (= 12), doxygen, graphviz, ninja-build
Standards-Version: 4.4.0
Homepage: https://github.com/intel/mkl-dnn
Vcs-Browser: https://salsa.debian.org/science-team/mkl-dnn
Vcs-Git: https://salsa.debian.org/science-team/mkl-dnn.git

Package: libmkldnn-dev
Section: libdevel
Architecture: amd64
Multi-Arch: same
Depends: libmkldnn1 (= ${binary:Version}), ${misc:Depends}, ${shlibs:Depends}
Description: Intel Math Kernel Library for Deep Neural Networks (dev)
 Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
 an open source performance library for deep learning applications. The library
 accelerates deep learning applications and framework on Intel(R) architecture.
 Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
 can use to implement deep neural networks (DNN) with C and C++ interfaces.
 .
 DNN functionality optimized for Intel architecture is also included in
 Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
 is not compatible with Intel MKL-DNN and does not include certain new and
 experimental features.
 .
 This package contains the header files, and symbol links to the shared object.

Package: libmkldnn1
Section: libs
Architecture: amd64
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends}
Description: Intel Math Kernel Library for Deep Neural Networks (lib)
 Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
 an open source performance library for deep learning applications. The library
 accelerates deep learning applications and framework on Intel(R) architecture.
 Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
 can use to implement deep neural networks (DNN) with C and C++ interfaces.
 .
 DNN functionality optimized for Intel architecture is also included in
 Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
 is not compatible with Intel MKL-DNN and does not include certain new and
 experimental features.
 .
 This package contains the shared object.

Package: libmkldnn-doc
Section: doc
Architecture: all
Depends: libjs-mathjax, ${misc:Depends}
Description: Intel Math Kernel Library for Deep Neural Networks (doc)
 Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
 an open source performance library for deep learning applications. The library
 accelerates deep learning applications and framework on Intel(R) architecture.
 Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
 can use to implement deep neural networks (DNN) with C and C++ interfaces.
 .
 DNN functionality optimized for Intel architecture is also included in
 Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
 is not compatible with Intel MKL-DNN and does not include certain new and
 experimental features.
 .
 This package contains the doxygen documentation.
