From 95ad6c38a6e3c03c1fac8d153ebd7306b67595b6 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 16 Apr 2024 03:34:25 +0000 Subject: automatic import of torchrl --- .gitignore | 1 + sources | 1 + torchrl.spec | 59 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 61 insertions(+) create mode 100644 sources create mode 100644 torchrl.spec diff --git a/.gitignore b/.gitignore index e69de29..995fd00 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/rl-0.3.1.tar.gz diff --git a/sources b/sources new file mode 100644 index 0000000..2bd5c56 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +a4e642b5994701b4e00e628ad3efd6dd rl-0.3.1.tar.gz diff --git a/torchrl.spec b/torchrl.spec new file mode 100644 index 0000000..3d95e7b --- /dev/null +++ b/torchrl.spec @@ -0,0 +1,59 @@ +%global _empty_manifest_terminate_build 0 +Name: torchrl +Version: 0.3.1 +Release: 1 +Summary: TorchRL is a library of reusable components for deep learning with reinforcement learning +License: MIT +URL: https://torchrl.org/ +Source0: https://github.com/pytorch/rl/archive/refs/tags/v%{version}.tar.gz/rl-%{version}.tar.gz + +BuildRequires: g++ +Requires: python3-torch +Requires: python3-gym + +%description +TorchRL provides efficient, reusable components for Reinforcement Learning research with PyTorch. +Key features include: +- Data structures for storing and manipulating reinforcement learning environments +- Efficient operations on these structures (sampling, loss functions) +- A framework for policy gradient methods +- A framework for Q-learning methods. + +%package -n python3-torchrl +Summary: TorchRL is a library of reusable components for deep learning with reinforcement learning +Provides: python-torchrl + +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-setuptools_scm +BuildRequires: python3-pbr +BuildRequires: python3-pip +BuildRequires: python3-wheel + +%description -n python3-torchrl +TorchRL provides efficient, reusable components for Reinforcement Learning research with PyTorch. +Key features include: +- Data structures for storing and manipulating reinforcement learning environments +- Efficient operations on these structures (sampling, loss functions) +- A framework for policy gradient methods +- A framework for Q-learning methods. + +%prep +%autosetup -p1 -n %{name}-%{version} + +%build +%py3_build + +%install +%py3_install + +%files -n python3-torchrl +%doc *.md +%license LICENSE +%{_bindir}/torchrl_runner +%{_bindir}/torchrl_visualizer +%{python3_sitearch}/* + +%changelog +* Mon Apr 15 2024 weilaijishu +- Initial package -- cgit v1.2.3