From 9e9e6d832e5ef2d9591b2b60bb6600e8ed1c6abf Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 15 Apr 2024 10:02:02 +0000 Subject: automatic import of python-pytorch --- python-pytorch.spec | 94 ----------------------------------------------------- 1 file changed, 94 deletions(-) delete mode 100644 python-pytorch.spec (limited to 'python-pytorch.spec') diff --git a/python-pytorch.spec b/python-pytorch.spec deleted file mode 100644 index 71efff9..0000000 --- a/python-pytorch.spec +++ /dev/null @@ -1,94 +0,0 @@ -%global _empty_manifest_terminate_build 0 -%global pypi_name pytorch -%global source_name pytorch - -Name: python-%{pypi_name} -Version: 2.1.2 -Release: 1%{?dist} -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/archive/refs/tags/v%{version}.tar.gz#/%{name}-%{version}.tar.gz - -BuildRequires: g++ -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-%{pypi_name} -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-%{pypi_name} -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-%{pypi_name}-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 %{pypi_name}-%{version} - -%build -%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 -* Mon Jan 22 2024 menma <1316818279@qq.com> - 0.9.5-1 -- Package init -- cgit v1.2.3