Accepting request 897397 from home:susnux:branches:science:machinelearning

Update to version 2.2.3

OBS-URL: https://build.opensuse.org/request/show/897397
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/onednn?expand=0&rev=10

onednn.spec

@@ -31,14 +31,16 @@
 
 %define libname libdnnl2
 Name:           onednn
-Version:        2.2.2
+Version:        2.2.3
 Release:        0
 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
-# PATCH-FIX-UPSTREAM - https://github.com/oneapi-src/oneDNN/pull/1045
-Patch1:         onednn-1045.patch
+Source0:        https://github.com/oneapi-src/oneDNN/archive/v%{version}/oneDNN-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM onednn-1045.patch -- https://github.com/oneapi-src/oneDNN/pull/1045
+Patch0:         onednn-1045.patch
+# PATCH-FIX-UPSTREAM 0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
+Patch1:         0001-common-gpu-include-thread-and-limit-headers-to-fix-G.patch
 BuildRequires:  cmake
 BuildRequires:  doxygen
 BuildRequires:  fdupes
@@ -114,8 +116,7 @@ Intel MKL-DNN contains vectorized and threaded building blocks that you can use
 to implement deep neural networks (DNN) with C and C++ interfaces.
 
 %prep
-%setup -q -n oneDNN-%{version}
-%autopatch -p1
+%autosetup -p1 -n oneDNN-%{version}
 
 %build
 %cmake \
@@ -169,6 +170,7 @@ popd
 %{_datadir}/benchdnn
 
 %files devel
+%doc README.md
 %{_includedir}/mkl-dnn
 %{_includedir}/mkldnn*.h*
 %{_includedir}/dnnl*.h*
@@ -187,7 +189,6 @@ popd
 
 %files -n %{libname}
 %license LICENSE
-%doc README.md
 %{_libdir}/libdnnl.so.*
 %{_libdir}/libmkldnn.so.*