automatic import of pytorch3d

3 files changed, 87 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..b0e6d45 100644
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+/v0.7.5.zip
diff --git a/pytorch3d.spec b/pytorch3d.spec
new file mode 100644
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+%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 License
+URL:		https://pytorch3d.org/
+Source0:	https://github.com/facebookresearch/pytorch3d/archive/refs/tags/v%{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:	ninja-build
+
+%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.
+
+%package help
+Summary:	Development documents and examples for pytorch3d
+Provides:	python3-pytorch3d-doc
+%description help
+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
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{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-pytorch3d
+%doc *.md
+%license LICENSE
+%{_bindir}/pytorch3d_implicitron_runner
+%{_bindir}/pytorch3d_implicitron_visualizer
+%{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 2.1.2-1
+- Package init
diff --git a/sources b/sources
new file mode 100644
index 0000000..242baab
--- /dev/null
+++ b/sources
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+7453cd390689a8d35ea6785b8080ccc8  v0.7.5.zip