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-rw-r--r--.gitignore1
-rw-r--r--0001-remove-nccl-check.patch25
-rw-r--r--pytorch.spec130
-rw-r--r--sources1
4 files changed, 157 insertions, 0 deletions
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 <dingli@iscas.ac.cn> - 2.1.2-5
+- Fix build error for riscv64
+
+* Wed May 22 2024 zhangzikang <zhangzikang@kylinos.cn> - 2.1.2-4
+- Fix build error for loongarch64
+
+* Mon Apr 22 2024 wangxiaomeng <wangxiaomeng@kylinos.cn> - 2.1.2-3
+- Fix CVE-2024-31584
+
+* Thu Jan 11 2024 Dongxing Wang <dongxing.wang_a@thundersoft.com> - 2.1.2-2
+- Patch: Add -Wno-error=nonnull for test/cpp/api/
+
+* Thu Dec 28 2023 Dongxing Wang <dongxing.wang_a@thundersoft.com> - 2.1.2-1
+- upgrade to 2.1.2
+
+* Thu Aug 17 2023 Dongxing Wang <dxwangk@isoftstone.com> - 2.0.1-2
+- Fix the EulerMaker failure for verion 2.0.1
+
+* Mon Jul 24 2023 Dongxing Wang <dxwangk@isoftstone.com> - 2.0.1-1
+- upgrade to 2.0.1
+
+* Thu Feb 16 2023 Dongxing Wang <dxwangk@isoftstone.com> - 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 <xiezhipeng1@huawei.com> - 1.11.0-1
+- upgrade to 1.11.0
+
+* Mon Jun 28 2021 wulei <wulei80@huawei.com> - 1.6.0-3
+- fixes: error: the CXX compiler identification is unknown
+
+* Thu Feb 4 2021 Zhipeng Xie<xiezhipeng1@huawei.com> - 1.6.0-2
+- disable SVE to fix compile error in gcc 9
+
+* Sun Sep 27 2020 Zhipeng Xie<xiezhipeng1@huawei.com> - 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