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diff --git a/pytorch.spec b/pytorch.spec new file mode 100644 index 0000000..70350d7 --- /dev/null +++ b/pytorch.spec @@ -0,0 +1,142 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pytorch +Version: 2.2.2 +Release: 1 +Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration +License: BSD-3-Clause +URL: https://pytorch.org/ +Source0: https://github.com/pytorch/pytorch/releases/download/v%{version}/pytorch-v%{version}.tar.gz +Source1: pocketfft.tar.gz +Source2: pthreadpool.tar.gz +Source3: cpuinfo.tar.gz +Source4: QNNPACK.tar.gz +Source5: FXdiv.tar.gz +Source6: tensorpipe.tar.gz +Source7: FP16.tar.gz +Source8: psimd.tar.gz +Source9: onnx.tar.gz +Source10: foxi.tar.gz +Source11: gloo.tar.gz +Source12: fbgemm.tar.gz +Source13: googletest.tar.gz +Source14: benchmark.tar.gz +Source15: NNPACK.tar.gz +Source16: XNNPACK.tar.gz +Source17: sleef.tar.gz +Source18: fmt.tar.gz +Source19: pybind11.tar.gz + +Patch1: 0001-add-Wno-error-nonnull-for-test-cpp-api.patch +Patch2: 0002-disable-git-submodule.patch +Requires: python3-future +Requires: python3-filelock +Requires: python3-sympy +Requires: python3-networkx +Requires: python3-fsspec + +%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 +BuildRequires: g++ + +%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}-%{version} +tar -xzf %{_sourcedir}/pocketfft.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/pocketfft ./third_party/ +tar -xzf %{_sourcedir}/pthreadpool.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/pthreadpool ./third_party/ +tar -xzf %{_sourcedir}/cpuinfo.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/cpuinfo ./third_party/ +tar -xzf %{_sourcedir}/QNNPACK.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/QNNPACK ./third_party/ +tar -xzf %{_sourcedir}/FXdiv.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/FXdiv ./third_party/ +tar -xzf %{_sourcedir}/tensorpipe.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/tensorpipe ./third_party/ +tar -xzf %{_sourcedir}/FP16.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/FP16 ./third_party/ +tar -xzf %{_sourcedir}/psimd.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/psimd ./third_party/ +tar -xzf %{_sourcedir}/onnx.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/onnx ./third_party/ +tar -xzf %{_sourcedir}/foxi.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/foxi ./third_party/ +tar -xzf %{_sourcedir}/gloo.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/gloo ./third_party/ +tar -xzf %{_sourcedir}/fbgemm.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/fbgemm ./third_party/ +tar -xzf %{_sourcedir}/googletest.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/googletest ./third_party/ +tar -xzf %{_sourcedir}/benchmark.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/benchmark ./third_party/ +tar -xzf %{_sourcedir}/NNPACK.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/NNPACK ./third_party/ +tar -xzf %{_sourcedir}/XNNPACK.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/XNNPACK ./third_party/ +tar -xzf %{_sourcedir}/sleef.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/sleef ./third_party/ +tar -xzf %{_sourcedir}/fmt.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/fmt ./third_party/ +tar -xzf %{_sourcedir}/kineto.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/kineto ./third_party/ +tar -xzf %{_sourcedir}/pybind11.tar.gz -C %{_sourcedir} && mv %{_sourcedir}/pybind11 ./third_party/ + +%build +export USE_CUDA=OFF +export USE_KINETO=OFF +export USE_QNNPACK=OFF +export USE_NNPACK=OFF +export USE_TENSORPIPE=OFF +export BUILD_CUSTOM_PROTOBUF=OFF +export USE_SYSTEM_SLEEF=ON +export USE_XNNPACK=OFF +#export USE_SYSTEM_CPUINFO=1 +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 +* Thu Jan 11 2024 menma <1316818279@qq.com> - 2.2.2-1 +- init package |