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| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | sources | 1 | ||||
| -rw-r--r-- | torchrl.spec | 88 |
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@@ -0,0 +1 @@ +/torchrl-0.2.1.tar.gz @@ -0,0 +1 @@ +0acbd3ad838df5b897bb5fdfb362e3d0 torchrl-0.2.1.tar.gz diff --git a/torchrl.spec b/torchrl.spec new file mode 100644 index 0000000..48d7603 --- /dev/null +++ b/torchrl.spec @@ -0,0 +1,88 @@ +%global _empty_manifest_terminate_build 0 + +Name: torchrl +Version: 0.2.1 +Release: 1 +Summary: A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. +License: MIT +URL: https://pytorch.org/rl +Source0: https://github.com/pytorch/rl/archive/refs/tags/v%{version}.tar.gz#/%{name}-%{version}.tar.gz + +BuildRequires: g++ +Requires: python3-numpy +Requires: python3-pytorch +Requires: python3-cloudpickle +Requires: python3-tensordict + +%description +TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. +It provides pytorch and python-first, low and high level abstractions for RL that are intended to +be efficient, modular, documented and properly tested. The code is aimed at supporting research in RL. +Most of it is written in python in a highly modular way, such that researchers can easily swap components, +transform them or write new ones with little effort. + +%package -n python3-torchrl +Summary: A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. +Provides: python-torchrl + +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-setuptools_scm +BuildRequires: python3-pbr +BuildRequires: python3-pip +BuildRequires: python3-wheel +BuildRequires: python3-hatchling + +BuildRequires: python3-pytorch +BuildRequires: ninja-build + +%description -n python3-torchrl +TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. +It provides pytorch and python-first, low and high level abstractions for RL that are intended to +be efficient, modular, documented and properly tested. The code is aimed at supporting research in RL. +Most of it is written in python in a highly modular way, such that researchers can easily swap components, +transform them or write new ones with little effort. + +%package help +Summary: Development documents and examples for torchrl +Provides: python3-torchrl-doc +%description help +TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. +It provides pytorch and python-first, low and high level abstractions for RL that are intended to +be efficient, modular, documented and properly tested. The code is aimed at supporting research in RL. +Most of it is written in python in a highly modular way, such that researchers can easily swap components, +transform them or write new ones with little effort. + + +%prep +%autosetup -p1 -n rl-%{version} + +%build +%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-torchrl +%doc *.md +%license LICENSE +%{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 0.2.1-1 +- Package init |