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%global _empty_manifest_terminate_build 0
Name: pytorch
Version: 1.6.0
Release: 4
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
License: BSD-3
URL: https://pytorch.org/
#sh -x updateSource.sh
Source0: pytorch-%{version}-include-submodules.tar.bz2
Patch0001: 0001-Fix-illegal-opcode-bug-in-caffe2-40584.patch
Patch0002: 0002-disable-SVE-for-v1.6.0-due-to-sleef-build-error.patch
BuildRequires: g++
Requires: python3-future
Requires: python3-numpy
%description
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
%package -n python3-pytorch
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Provides: python-torch
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pyyaml
BuildRequires: cmake
BuildRequires: make
BuildRequires: python3-numpy
%description -n python3-pytorch
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
%package help
Summary: Development documents and examples for torch
Provides: python3-pytorch-doc
%description help
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
%prep
%autosetup -p1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-pytorch -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Dec 26 2022 wangdongxing <dxwangk@isoftstone.com> - 1.6.0-4
- fixes: error: add build requires make for compile local
* Mon Jun 28 2021 wulei <wulei80@huawei.com> - 1.6.0-3
- fixes: error: the CXX compiler identification is unknown
* Thu Feb 4 2021 Zhipeng Xie<xiezhipeng1@huawei.com> - 1.6.0-2
- disable SVE to fix compile error in gcc 9
* Sun Sep 27 2020 Zhipeng Xie<xiezhipeng1@huawei.com> - 1.6.0-1
- Package init
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