diff --git a/onednn.changes b/onednn.changes index d409fbf..588e7f5 100644 --- a/onednn.changes +++ b/onednn.changes @@ -1,3 +1,8 @@ +------------------------------------------------------------------- +Thu May 27 08:10:13 UTC 2021 - Jan Engelhardt + +- Update descriptions. + ------------------------------------------------------------------- Wed May 26 13:29:27 UTC 2021 - Guillaume GARDET diff --git a/onednn.spec b/onednn.spec index a65feba..5ac027a 100644 --- a/onednn.spec +++ b/onednn.spec @@ -33,7 +33,7 @@ Name: onednn Version: 2.2.2 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 URL: https://01.org/onednn 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} %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 accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces. %package -n benchdnn -Summary: Header files of Intel(R) Math Kernel Library +Summary: Header files of Intel Math Kernel Library Requires: %{libname} = %{version} %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 accelerates deep-learning applications and frameworks on Intel architecture. 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. %package devel -Summary: Header files of Intel(R) Math Kernel Library +Summary: Header files of Intel Math Kernel Library Requires: %{libname} = %{version} Provides: mkl-dnn-devel = %{version} Obsoletes: mkl-dnn-devel <= %{version} Provides: oneDNN-devel = %{version} %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 accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces. 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 -Summary: Reference documentation for the Intel(R) Math Kernel Library +Summary: Reference documentation for the Intel Math Kernel Library BuildArch: noarch %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. %package -n %{libname} -Summary: Header files of Intel(R) Math Kernel Library +Summary: Header files of Intel Math Kernel Library %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 accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use