%global pkg_name torchrl %global pkg_version 0.2.1 %global pkg_summary A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. %global pkg_description %{expand: %{pkg_summary}} %global _empty_manifest_terminate_build 0 Name: python-%{pkg_name} Version: %{pkg_version} Release: 1 Summary: %{pkg_summary} License: BSD 3-Clause URL: https://github.com/pytorch/rl Source0: %{url}/archive/refs/tags/v%{version}.tar.gz#/rl-%{version}.tar.gz BuildRequires: cmake BuildRequires: ninja-build BuildRequires: g++ BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-setuptools_scm BuildRequires: python3-pbr BuildRequires: python3-pip BuildRequires: python3-wheel BuildRequires: python3-hatchling BuildRequires: python3-numpy BuildRequires: python3-pytorch >= 2.1.2 %description %{pkg_description} %package -n python3-%{pkg_name} Summary: %{pkg_summary} %description -n python3-%{pkg_name} %{pkg_description} %package help Summary: the documents and examples for %{pkg_name} %description help This package contains the documents and examples for %{pkg_name} %prep %autosetup -p1 -n rl-%{pkg_version} %build %pyproject_build %install %pyproject_install # help pkg files: 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-%{pkg_name} %license LICENSE %doc README.md %{python3_sitearch}/%{pkg_name}* %{python3_sitearch}/build_tools* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 15 2024 YunShu - add help subpackage * Sun Mar 31 2024 YunShu - add torchrl 0.2.1