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%global _empty_manifest_terminate_build 0
Name: python-gpytorch
Version: 1.11
Release: 1
Summary: A highly efficient implementation of Gaussian Processes in PyTorch
License: MIT
URL: https://github.com/cornellius-gp/gpytorch
Source0: https://github.com/cornellius-gp/gpytorch/archive/refs/tags/v%{version}.tar.gz#/%{name}-%{version}.tar.gz
Requires: python3-pytorch
%description
GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable,
flexible, and modular Gaussian process models with ease.
GPyTorch provides (1) significant GPU acceleration (through MVM based inference);
(2) state-of-the-art implementations of the latest algorithmic advances for scalability and flexibility
(3) easy integration with deep learning frameworks.
%package -n python3-gpytorch
Summary: A highly efficient implementation of Gaussian Processes in PyTorch
Provides: python-gpytorch
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-setuptools_scm
BuildRequires: python3-pbr
BuildRequires: python3-pip
BuildRequires: python3-wheel
%description -n python3-gpytorch
GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable,
flexible, and modular Gaussian process models with ease.
GPyTorch provides (1) significant GPU acceleration (through MVM based inference);
(2) state-of-the-art implementations of the latest algorithmic advances for scalability and flexibility
(3) easy integration with deep learning frameworks.
%package help
Summary: Development documents and examples for python-gpytorch
Provides: python3-gpytorch-doc
%description help
GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable,
flexible, and modular Gaussian process models with ease.
GPyTorch provides (1) significant GPU acceleration (through MVM based inference);
(2) state-of-the-art implementations of the latest algorithmic advances for scalability and flexibility
(3) easy integration with deep learning frameworks.
%prep
%autosetup -p1 -n gpytorch-%{version}
%build
export SETUPTOOLS_SCM_PRETEND_VERSION=%{version}
%pyproject_build
%install
%pyproject_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d docs ]; then cp -arf docs %{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-gpytorch
%doc *.md
%license LICENSE
%{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 1.11-1
- Package init
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