automatic import of pytorch3d

1 files changed, 37 insertions, 52 deletions

diff --git a/pytorch3d.spec b/pytorch3d.spec
index 637ac4b..f4e8a9f 100644
--- a/pytorch3d.spec
+++ b/pytorch3d.spec
@@ -1,15 +1,15 @@
 %global _empty_manifest_terminate_build 0
-Name:		pytorch3d
-Version:	2.0.1
-Release:	2
-Summary:	Tensors and Dynamic neural networks in Python with strong GPU acceleration
-License:	BSD-3
-URL:		https://github.com/facebookresearch/pytorch3d
-Source0:	https://gitee.com/LHY1999/pytorch3d/raw/master/pytorch3d-0.7.4.tar.gz
+Name:           pytorch3d
+Version:        0.7.4
+Release:        2
+Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
+License:        BSD-3
+URL:            https://github.com/facebookresearch/pytorch3d
+Source0:        https://gitee.com/LHY1999/pytorch3d/raw/master/pytorch3d-0.7.4.tar.gz
 
 BuildRequires:  g++
-Requires:	python3-future
-Requires:	python3-numpy
+Requires:       python3-future
+Requires:       python3-numpy
 
 %description
 PyTorch is a Python package that provides two high-level features:
@@ -17,33 +17,33 @@ PyTorch is a Python package that provides two high-level features:
 - Deep neural networks built on a tape-based autograd system
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
 
-%package -n python3-pytorch
-Summary:	Tensors and Dynamic neural networks in Python with strong GPU acceleration
-Provides:	python-torch
-BuildRequires:	python3-devel
-BuildRequires:	python3-setuptools
-BuildRequires:	python3-setuptools_scm
-BuildRequires:	python3-pbr
-BuildRequires:	python3-pip
-BuildRequires:	python3-wheel
-BuildRequires:	python3-hatchling
-
-BuildRequires:	python3-astunparse
-BuildRequires:	python3-numpy
-BuildRequires:	python3-pyyaml
-BuildRequires:	cmake
-BuildRequires:	python3-typing-extensions
-BuildRequires:	python3-requests
-
-%description -n python3-pytorch
+%package -n python3-pytorch3d
+Summary:        Tensors and Dynamic neural networks in Python with strong GPU acceleration
+Provides:       python-torch3d
+BuildRequires:  python3-devel
+BuildRequires:  python3-setuptools
+BuildRequires:  python3-setuptools_scm
+BuildRequires:  python3-pbr
+BuildRequires:  python3-pip
+BuildRequires:  python3-wheel
+BuildRequires:  python3-hatchling
+
+BuildRequires:  python3-astunparse
+BuildRequires:  python3-numpy
+BuildRequires:  python3-pyyaml
+BuildRequires:  cmake
+BuildRequires:  python3-typing-extensions
+BuildRequires:  python3-requests
+
+%description -n python3-pytorch3d
 PyTorch is a Python package that provides two high-level features:
 - Tensor computation (like NumPy) with strong GPU acceleration
 - Deep neural networks built on a tape-based autograd system
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
 
 %package help
-Summary:	Development documents and examples for torch
-Provides:	python3-pytorch-doc
+Summary:        Development documents and examples for torch
+Provides:       python3-pytorch3d-doc
 %description help
 PyTorch is a Python package that provides two high-level features:
 - Tensor computation (like NumPy) with strong GPU acceleration
@@ -51,34 +51,19 @@ PyTorch is a Python package that provides two high-level features:
 You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.
 
 %prep
-%autosetup -p1 -n %{name}-v%{version}
+%autosetup -p1 -n %{name}-%{version}
 
 %build
-export CFLAGS+=" -Wno-error=maybe-uninitialized -Wno-error=uninitialized -Wno-error=restrict -fPIC"
-export CXXFLAGS+=" -Wno-error=maybe-uninitialized -Wno-error=uninitialized -Wno-error=restrict -fPIC"
-%pyproject_build
+#%py3_build
+/root/anaconda3/bin/python3 setup.py 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-pytorch
+#%py3_install
+python3 setup.py install
+
+%files -n python3-pytorch3d
 %doc *.md
 %license LICENSE
-%{_bindir}/convert-caffe2-to-onnx
-%{_bindir}/convert-onnx-to-caffe2
-%{_bindir}/torchrun
 %{python3_sitearch}/*
 
 %files help -f doclist.lst