%global _empty_manifest_terminate_build 0
Name:		pytorch3d
Version:	0.7.5
Release:	1
Summary:	PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
License:	BSD
URL:		https://pytorch3d.org/
Source0:	https://github.com/facebookresearch/pytorch3d/archive/refs/tags/v%{version}.zip#/%{name}-%{version}.zip

BuildRequires:  g++
Requires:	python3-fvcore
Requires:	python3-iopath

%description
PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch.
Key features include:
- Data structure for storing and manipulating triangle meshes
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
- A differentiable mesh renderer
- Implicitron, see its README, a framework for new-view synthesis via implicit representations.

%package -n python3-pytorch3d
Summary:	PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Provides:	python-pytorch3d

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

%description -n python3-pytorch3d
PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch.
Key features include:
- Data structure for storing and manipulating triangle meshes
- Efficient operations on triangle meshes (projective transformations, graph convolution, sampling, loss functions)
- A differentiable mesh renderer
- Implicitron, see its README, a framework for new-view synthesis via implicit representations.

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

%build
%py3_build

%install
%py3_install

%files -n python3-pytorch3d
%doc *.md
%license LICENSE
%{_bindir}/pytorch3d_implicitron_runner
%{_bindir}/pytorch3d_implicitron_visualizer
%{python3_sitearch}/*

%changelog
* Mon Apr 15 2024 weilaijishu 
- Initial package