%global _empty_manifest_terminate_build 0
Name:           transformers
Version:        4.38.1
Release:        1%{?dist}
Summary:        State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
License:        Apache-2.0
URL:            https://huggingface.co/transformers/
Source0:        https://gitee.com/liujunjun2023/openatom-transformers/transformers-4.38.1.tar.gz

BuildRequires:  gcc
BuildRequires:  python3-devel
BuildRequires:  python3-setuptools
BuildRequires:  python3-pip
BuildRequires:  cmake
Requires:       python3-future
Requires:       python3-numpy
Requires:       python3-requests

%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.

%prep
%autosetup -p1 -n %{name}-%{version}

%build
echo "Starting build process in $(pwd)"
python3 setup.py build
echo "Build process completed"

%install
echo "Starting install process"
python3 setup.py install --skip-build --root %{buildroot}
install -d -m755 %{buildroot}/%{_pkgdocdir}
echo "Install process completed"

cp -arf docs %{buildroot}/%{_pkgdocdir}
cp -arf examples %{buildroot}/%{_pkgdocdir}
cp -arf LICENSE %{buildroot}/%{_pkgdocdir}
cp -arf README*.md %{buildroot}/%{_pkgdocdir}
cp -arf SECURITY.md %{buildroot}/%{_pkgdocdir}
cp -arf CODE_OF_CONDUCT.md %{buildroot}/%{_pkgdocdir}
cp -arf CONTRIBUTING.md %{buildroot}/%{_pkgdocdir}
cp -arf ISSUES.md %{buildroot}/%{_pkgdocdir}
cp -arf awesome-transformers.md %{buildroot}/%{_pkgdocdir}

%files
%doc README*.md SECURITY.md CODE_OF_CONDUCT.md CONTRIBUTING.md ISSUES.md awesome-transformers.md
%license LICENSE
%{python3_sitearch}/transformers*
%dir %{_pkgdocdir}
%{_pkgdocdir}/docs
%{_pkgdocdir}/examples


%changelog
* Mon Feb 28 2022 Junjunliu <172074482@qq.com> - 4.38.1-1
- First build of transformers RPM