From 0f35927c38cefce5719925073935f98a06866800 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Mon, 15 Apr 2024 17:30:13 +0000
Subject: automatic import of pytorch3d

---
 .gitignore   |  1 +
 sources      |  1 +
 torch3d.spec | 61 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 63 insertions(+)
 create mode 100644 sources
 create mode 100644 torch3d.spec

diff --git a/.gitignore b/.gitignore
index e69de29..208b337 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/pytorch3d-0.7.5.zip
diff --git a/sources b/sources
new file mode 100644
index 0000000..e67baa6
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+7453cd390689a8d35ea6785b8080ccc8  pytorch3d-0.7.5.zip
diff --git a/torch3d.spec b/torch3d.spec
new file mode 100644
index 0000000..e73bbc3
--- /dev/null
+++ b/torch3d.spec
@@ -0,0 +1,61 @@
+%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
-- 
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