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%global _empty_manifest_terminate_build 0
Name: pytorch
Version: 2.1.2
Release: 3
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
License: BSD-3-Clause
URL: https://pytorch.org/
Source0: https://github.com/pytorch/pytorch/releases/download/v%{version}/pytorch-v%{version}.tar.gz
Patch1: 0001-add-Wno-error-nonnull-for-test-cpp-api.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-setuptools_scm
BuildRequires: python3-pbr
BuildRequires: python3-pip
BuildRequires: python3-wheel
BuildRequires: python3-hatchling
BuildRequires: python3-astunparse
BuildRequires: python3-numpy
BuildRequires: python3-pyyaml
BuildRequires: python3-typing-extensions
BuildRequires: python3-requests
BuildRequires: cmake
%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 -n %{name}-v%{version}
%build
export CFLAGS+=" -Wno-error=maybe-uninitialized -Wno-error=uninitialized -Wno-error=restrict -fPIC"
export CXXFLAGS+=" -Wno-error=maybe-uninitialized -Wno-error=uninitialized -Wno-error=restrict -fPIC"
export USE_CUDA=OFF
%pyproject_build
%install
%pyproject_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}
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}/doclist.lst .
%files -n python3-pytorch
%doc *.md
%license LICENSE
%{_bindir}/convert-caffe2-to-onnx
%{_bindir}/convert-onnx-to-caffe2
%{_bindir}/torchrun
%{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Jan 27 2024 Binshuo Zu <274620705z@gmail.com> - 2.1.2-3
- Set USE_CUDA=OFF in the build section
* Thu Jan 11 2024 Dongxing Wang <dongxing.wang_a@thundersoft.com> - 2.1.2-2
- Patch: Add -Wno-error=nonnull for test/cpp/api/
* Thu Dec 28 2023 Dongxing Wang <dongxing.wang_a@thundersoft.com> - 2.1.2-1
- upgrade to 2.1.2
* Thu Aug 17 2023 Dongxing Wang <dxwangk@isoftstone.com> - 2.0.1-2
- Fix the EulerMaker failure for verion 2.0.1
* Mon Jul 24 2023 Dongxing Wang <dxwangk@isoftstone.com> - 2.0.1-1
- upgrade to 2.0.1
* Thu Feb 16 2023 Dongxing Wang <dxwangk@isoftstone.com> - 1.11.0-2
- fixes: error: the CXX 11 compiler error (linux.cc flexible array member not at end of struct)
* Mon Jun 13 2022 Zhipeng Xie <xiezhipeng1@huawei.com> - 1.11.0-1
- upgrade to 1.11.0
* 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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