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author | CoprDistGit <infra@openeuler.org> | 2024-03-31 09:05:03 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2024-03-31 09:05:03 +0000 |
commit | 8a90dae5e685b939281fabe7dc7d533249cb90ed (patch) | |
tree | bded7116e85aa90e94d2aa9be99b1aae68a94743 | |
parent | 3e6e55aa91276e91969bd2c88c696f93c69130e8 (diff) |
automatic import of pytorch
-rw-r--r-- | pytorch-v2.2.1.tar.gz | 3 | ||||
-rw-r--r-- | pytorch.spec | 89 | ||||
-rw-r--r-- | sources | 0 |
3 files changed, 92 insertions, 0 deletions
diff --git a/pytorch-v2.2.1.tar.gz b/pytorch-v2.2.1.tar.gz new file mode 100644 index 0000000..76be417 --- /dev/null +++ b/pytorch-v2.2.1.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8069467387b8ab7a7279671b9144d80a5c5342b4fa022eb3c1db629a6fd806c9 +size 287453242 diff --git a/pytorch.spec b/pytorch.spec new file mode 100644 index 0000000..4970cf0 --- /dev/null +++ b/pytorch.spec @@ -0,0 +1,89 @@ +%global _empty_manifest_terminate_build 0 +Name: pytorch +Version: 2.2.1 +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 +* Wed Mar 27 2024 Xeno Chou <dxwangk@isoftstone.com> - 2.2.1 +- Support version 2.2.1 |