automatic import of pytorch

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diff --git a/pytorch.spec b/pytorch.spec
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+%global _empty_manifest_terminate_build 0
+Name:		pytorch
+Version:        2.1.2
+Release:	2
+Summary:	Tensors and Dynamic neural networks in Python with strong GPU acceleration
+License:	BSD-3
+URL:		https://pytorch.org/
+Source0:	https://github.com/pytorch/pytorch/releases/download/v%{version}/pytorch-v%{version}.tar.gz
+
+BuildRequires:  g++
+Requires:	python3-future
+Requires:	python3-numpy
+
+%description
+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 -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
+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
+%description help
+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.
+
+%prep
+%autosetup -p1 -n %{name}-v%{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
+
+%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
+%doc *.md
+%license LICENSE
+%{_bindir}/convert-caffe2-to-onnx
+%{_bindir}/convert-onnx-to-caffe2
+%{_bindir}/torchrun
+%{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri Mar 29 2024 youser
+- Package init