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authorCoprDistGit <infra@openeuler.org>2024-03-31 09:05:03 +0000
committerCoprDistGit <infra@openeuler.org>2024-03-31 09:05:03 +0000
commit8a90dae5e685b939281fabe7dc7d533249cb90ed (patch)
treebded7116e85aa90e94d2aa9be99b1aae68a94743
parent3e6e55aa91276e91969bd2c88c696f93c69130e8 (diff)
automatic import of pytorch
-rw-r--r--pytorch-v2.2.1.tar.gz3
-rw-r--r--pytorch.spec89
-rw-r--r--sources0
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
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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
diff --git a/sources b/sources
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/sources