From 62aba2ab6b4dd76370487616517d6054e728cf0c56f85e1e04296feae82e3a87 Mon Sep 17 00:00:00 2001
From: Guillaume GARDET <guillaume.gardet@opensuse.org>
Date: Sat, 31 Aug 2024 09:11:26 +0000
Subject: [PATCH] - Enable sle15_python_module_pythons. - GCC 9.3 or newer is
 required, regardless if CUDA is enabled.   See
 https://github.com/pytorch/pytorch/blob/v2.3.1/CMakeLists.txt#L48  
 Therefore, for SLE15 we went with GCC 11 as it seems to be the most   common
 one. - Use %gcc_version macro for Tumbleweed.

OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-torch?expand=0&rev=36
---
 python-torch.changes | 10 ++++++++++
 python-torch.spec    | 37 ++++++++++++++-----------------------
 2 files changed, 24 insertions(+), 23 deletions(-)

diff --git a/python-torch.changes b/python-torch.changes
index b65a3dc..56300fe 100644
--- a/python-torch.changes
+++ b/python-torch.changes
@@ -1,3 +1,13 @@
+-------------------------------------------------------------------
+Thu Aug 29 04:28:03 UTC 2024 - Guang Yee <gyee@suse.com>
+
+- Enable sle15_python_module_pythons.
+- GCC 9.3 or newer is required, regardless if CUDA is enabled.
+  See https://github.com/pytorch/pytorch/blob/v2.3.1/CMakeLists.txt#L48
+  Therefore, for SLE15 we went with GCC 11 as it seems to be the most
+  common one.
+- Use %gcc_version macro for Tumbleweed.
+
 -------------------------------------------------------------------
 Thu Jul 11 09:37:17 UTC 2024 - Christian Goll <cgoll@suse.com>
 
diff --git a/python-torch.spec b/python-torch.spec
index e39c92e..57441bd 100644
--- a/python-torch.spec
+++ b/python-torch.spec
@@ -75,6 +75,7 @@
 %define sleef_version e0a003e
 %define tensorpipe 52791a2
 
+%{?sle15_python_module_pythons}
 Name:           python-torch%{?pkg_suffix}
 Version:        2.3.1
 Release:        0
@@ -147,19 +148,17 @@ BuildRequires:  %{python_module py-cpuinfo}
 BuildRequires:  %{python_module setuptools}
 BuildRequires:  %{python_module typing_extensions}
 BuildRequires:  %{python_module typing}
-%if 0%{?suse_version} <= 1500
 # Python 3.6 still need dataclasses
-BuildRequires:  %{python_module dataclasses}
-%ifarch aarch64
-# XNNPACK uses +dotprod modifier which requires GCC8+
-BuildRequires:  gcc8
-BuildRequires:  gcc8-c++
-%endif
-%endif
+BuildRequires:  %{python_module dataclasses if %python-base < 3.7}
 BuildRequires:  cmake >= 3.5
 BuildRequires:  eigen3-devel
 BuildRequires:  fdupes
+%if 0%{?suse_version} > 1500
 BuildRequires:  gcc-c++
+%else
+BuildRequires:  gcc11
+BuildRequires:  gcc11-c++
+%endif
 BuildRequires:  glog-devel
 BuildRequires:  gtest
 BuildRequires:  leveldb-devel
@@ -182,10 +181,6 @@ BuildRequires:  cuda-libraries-dev-%cudaver
 BuildRequires:  cuda-misc-headers-%cudaver
 BuildRequires:  cuda-nsight-%cudaver
 BuildRequires:  cuda-toolkit-%cudaver
-%if 0%{?suse_version} > 1500
-BuildRequires:  gcc7
-BuildRequires:  gcc7-c++
-%endif
 BuildRequires:  libcudnn7-devel
 BuildRequires:  libnccl-devel
 %endif
@@ -253,7 +248,6 @@ Conflicts:      %{python_module torch-converters}
 Conflicts:      %{python_module torch-converters}
 %endif
 
-
 %description converters
 Converter from caffe2 to onnx and from caffe2 to onnx formated files.
 
@@ -332,20 +326,17 @@ rmdir tensorpipe/third_party/libnop
   export C_INCLUDE_PATH="/usr/local/cuda-10.1/include" \
   export LD_LIBRARY_PATH="/usr/local/cuda-10.1/lib" \
   export NCCL_INCLUDE_DIR="/usr/include/" \
-  %if 0%{?suse_version} > 1500  \
-  export CC=gcc-7 \
-  export CXX=g++-7 \
-  %endif \
   %else \
-  %if 0%{?suse_version} <= 1500 \
-  %ifarch aarch64 \
-  export CC=gcc-8 \
-  export CXX=g++-8 \
-  %endif \
-  %endif \
   export USE_CUDA=OFF \
   export USE_CUDNN=OFF \
   %endif \
+  %if 0%{?suse_version} > 1500 \
+  export CC=gcc-%gcc_version \
+  export CXX=g++-%gcc_version \
+  %else \
+  export CC=gcc-11 \
+  export CXX=g++-11 \
+  %endif \
   export USE_KINETO=OFF \
   export USE_LEVELDB=ON \
   export USE_LMDB=ON \