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Accepting request 895673 from home:jengelh:branches:science:machinelearning

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opensuse trademark using guidelines says not to use these marks

OBS-URL: https://build.opensuse.org/request/show/895673
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/onednn?expand=0&rev=9
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Guillaume GARDET 2021-05-27 08:30:46 +00:00 committed by Git OBS Bridge
parent a14ab9290a
commit 861717c4f1
2 changed files with 16 additions and 11 deletions
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onednn.changes
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@ -1,3 +1,8 @@
-------------------------------------------------------------------
Thu May 27 08:10:13 UTC 2021 - Jan Engelhardt <jengelh@inai.de>
- Update descriptions.
------------------------------------------------------------------- -------------------------------------------------------------------
Wed May 26 13:29:27 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org> Wed May 26 13:29:27 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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onednn.spec
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@ -33,7 +33,7 @@
Name: onednn Name: onednn
Version: 2.2.2 Version: 2.2.2
Release: 0 Release: 0
Summary: Intel(R) Math Kernel Library for Deep Neural Networks Summary: Intel Math Kernel Library for Deep Neural Networks
License: Apache-2.0 License: Apache-2.0
URL: https://01.org/onednn URL: https://01.org/onednn
Source0: https://github.com/oneapi-src/oneDNN/archive/v%{version}/%{name}-%{version}.tar.gz Source0: https://github.com/oneapi-src/oneDNN/archive/v%{version}/%{name}-%{version}.tar.gz
@ -59,18 +59,18 @@ Obsoletes: mkl-dnn <= %{version}
Provides: oneDNN = %{version} Provides: oneDNN = %{version}
%description %description
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture. accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use Intel MKL-DNN contains vectorized and threaded building blocks that you can use
to implement deep neural networks (DNN) with C and C++ interfaces. to implement deep neural networks (DNN) with C and C++ interfaces.
%package -n benchdnn %package -n benchdnn
Summary: Header files of Intel(R) Math Kernel Library Summary: Header files of Intel Math Kernel Library
Requires: %{libname} = %{version} Requires: %{libname} = %{version}
%description -n benchdnn %description -n benchdnn
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture. accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use Intel MKL-DNN contains vectorized and threaded building blocks that you can use
@ -79,35 +79,35 @@ to implement deep neural networks (DNN) with C and C++ interfaces.
This package only includes the benchmark utility including its input files. This package only includes the benchmark utility including its input files.
%package devel %package devel
Summary: Header files of Intel(R) Math Kernel Library Summary: Header files of Intel Math Kernel Library
Requires: %{libname} = %{version} Requires: %{libname} = %{version}
Provides: mkl-dnn-devel = %{version} Provides: mkl-dnn-devel = %{version}
Obsoletes: mkl-dnn-devel <= %{version} Obsoletes: mkl-dnn-devel <= %{version}
Provides: oneDNN-devel = %{version} Provides: oneDNN-devel = %{version}
%description devel %description devel
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture. accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use Intel MKL-DNN contains vectorized and threaded building blocks that you can use
to implement deep neural networks (DNN) with C and C++ interfaces. to implement deep neural networks (DNN) with C and C++ interfaces.
This package includes the required headers and library files to develop software This package includes the required headers and library files to develop software
with the Intel(R) MKL-DNN. with the Intel MKL-DNN.
%package doc %package doc
Summary: Reference documentation for the Intel(R) Math Kernel Library Summary: Reference documentation for the Intel Math Kernel Library
BuildArch: noarch BuildArch: noarch
%description doc %description doc
The reference documentation for the Intel(R) Math Kernel Library can be installed The reference documentation for the Intel Math Kernel Library can be installed
with this package. with this package.
%package -n %{libname} %package -n %{libname}
Summary: Header files of Intel(R) Math Kernel Library Summary: Header files of Intel Math Kernel Library
%description -n %{libname} %description -n %{libname}
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture. accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use Intel MKL-DNN contains vectorized and threaded building blocks that you can use