From a80a94b570be9d8cc0926fd2da6931834340320f Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 15 Jul 2025 09:09:03 +0000 Subject: automatic import of pytorch --- .gitignore | 1 + 0001-remove-nccl-check.patch | 25 +++++++++ pytorch.spec | 130 +++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 4 files changed, 157 insertions(+) create mode 100644 0001-remove-nccl-check.patch create mode 100644 pytorch.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..74a5cf0 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/pytorch-v2.7.0.tar.gz diff --git a/0001-remove-nccl-check.patch b/0001-remove-nccl-check.patch new file mode 100644 index 0000000..5ad8cbc --- /dev/null +++ b/0001-remove-nccl-check.patch @@ -0,0 +1,25 @@ +From 0f51b22f75a7250559c4b3ff48afbe18ec858a91 Mon Sep 17 00:00:00 2001 +From: Icey <1790571317@qq.com> +Date: Mon, 14 Jul 2025 06:30:01 +0000 +Subject: [PATCH] remove nccl check + +--- + tools/build_pytorch_libs.py | 3 ++- + 1 file changed, 2 insertions(+), 1 deletion(-) + +diff --git a/tools/build_pytorch_libs.py b/tools/build_pytorch_libs.py +index 5dd5a221975..ca315302fc3 100644 +--- a/tools/build_pytorch_libs.py ++++ b/tools/build_pytorch_libs.py +@@ -119,7 +119,8 @@ def build_pytorch( + cmake: CMake, + ) -> None: + my_env = _create_build_env() +- checkout_nccl() ++ if os.getenv("USE_NCCL", "1") != "0": ++ checkout_nccl() + build_test = not check_negative_env_flag("BUILD_TEST") + cmake.generate( + version, cmake_python_library, build_python, build_test, my_env, rerun_cmake +-- +2.34.1 diff --git a/pytorch.spec b/pytorch.spec new file mode 100644 index 0000000..3097b55 --- /dev/null +++ b/pytorch.spec @@ -0,0 +1,130 @@ +%global _empty_manifest_terminate_build 0 +Name: pytorch +Version: 2.7.0 +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 + +Patch1: 0001-remove-nccl-check.patch +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-astunparse +BuildRequires: cmake +BuildRequires: python3-filelock +BuildRequires: python3-fsspec +BuildRequires: python3-hypothesis +BuildRequires: python3-jinja2 +BuildRequires: python3-networkx +BuildRequires: python3-ninja +BuildRequires: python3-numpy +BuildRequires: python3-packaging +BuildRequires: python3-pyyaml +BuildRequires: python3-requests +BuildRequires: python3-setuptools +BuildRequires: python3-sympy +BuildRequires: python3-typing-extensions + +%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 USE_CUDA=0 +export USE_NCCL=0 +export USE_SYSTEM_NCCL=0 +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}/torchfrtrace +%{_bindir}/torchrun +%{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu Jul 11 2025 Xiaoshuang Wang <1790571317@qq.com> - 2.7.0-1 +- upgrade to 2.7.0 + +* Wed Jul 17 2024 Dingli Zhang - 2.1.2-5 +- Fix build error for riscv64 + +* Wed May 22 2024 zhangzikang - 2.1.2-4 +- Fix build error for loongarch64 + +* Mon Apr 22 2024 wangxiaomeng - 2.1.2-3 +- Fix CVE-2024-31584 + +* Thu Jan 11 2024 Dongxing Wang - 2.1.2-2 +- Patch: Add -Wno-error=nonnull for test/cpp/api/ + +* Thu Dec 28 2023 Dongxing Wang - 2.1.2-1 +- upgrade to 2.1.2 + +* Thu Aug 17 2023 Dongxing Wang - 2.0.1-2 +- Fix the EulerMaker failure for verion 2.0.1 + +* Mon Jul 24 2023 Dongxing Wang - 2.0.1-1 +- upgrade to 2.0.1 + +* Thu Feb 16 2023 Dongxing Wang - 1.11.0-2 +- fixes: error: the CXX 11 compiler error (linux.cc flexible array member not at end of struct) + +* Mon Jun 13 2022 Zhipeng Xie - 1.11.0-1 +- upgrade to 1.11.0 + +* Mon Jun 28 2021 wulei - 1.6.0-3 +- fixes: error: the CXX compiler identification is unknown + +* Thu Feb 4 2021 Zhipeng Xie - 1.6.0-2 +- disable SVE to fix compile error in gcc 9 + +* Sun Sep 27 2020 Zhipeng Xie - 1.6.0-1 +- Package init diff --git a/sources b/sources new file mode 100644 index 0000000..b17a139 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +6df80245eae6d959f4559524c3e00cd3 pytorch-v2.7.0.tar.gz -- cgit v1.2.3