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authorCoprDistGit <infra@openeuler.org>2024-01-27 11:34:47 +0000
committerCoprDistGit <infra@openeuler.org>2024-01-27 11:34:47 +0000
commit746111dbc12e8d2370ebab4a3a215e4ce755a826 (patch)
tree74299a1df067fe8acc0a464be1a5592faa7f09c3
parent01449041a2151b56f2052034a0bc83bf2c914a70 (diff)
automatic import of torchmetricsopeneuler23.09
-rw-r--r--torchmetrics.spec188
1 files changed, 94 insertions, 94 deletions
diff --git a/torchmetrics.spec b/torchmetrics.spec
index 480b89b..0079f9a 100644
--- a/torchmetrics.spec
+++ b/torchmetrics.spec
@@ -1,95 +1,95 @@
-%global _empty_manifest_terminate_build 0
-%define debug_package %{nil}
-Name: torchmetrics
-Version: 1.1.1
-Release: 2
-Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
-License: BSD-3
-URL: https://github.com/Lightning-AI/torchmetrics
-Source0: https://atomgit.com/havefun/torchmetrics/raw/master/torchmetrics-1.1.1.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-torchmetrics
-Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
-Provides: python-torchmetrics
-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
-BuildRequires: python3-pytorch
-
-%define debug_package %{nil}
-
-%description -n python3-torchmetrics
-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-torchmetrics-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}-%{version}
-
-%build
-%py3_build
-#python3 setup.py build
-
-%install
-%define _unpackaged_files_terminate_build 0
-%py3_install
-#python3 setup.py install
-
-%files -n python3-torchmetrics
-%doc *.md
-%license LICENSE
-%{python3_sitelib}/*
-
-
-%changelog
-* 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
+%global _empty_manifest_terminate_build 0
+%define debug_package %{nil}
+Name: torchmetrics
+Version: 1.1.1
+Release: 2
+Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
+License: BSD-3
+URL: https://github.com/Lightning-AI/torchmetrics
+Source0: https://atomgit.com/havefun/torchmetrics/raw/master/torchmetrics-1.1.1.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-torchmetrics
+Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
+Provides: python-torchmetrics
+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
+BuildRequires: python3-pytorch
+
+%define debug_package %{nil}
+
+%description -n python3-torchmetrics
+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-torchmetrics-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}-%{version}
+
+%build
+%py3_build
+#python3 setup.py build
+
+%install
+%define _unpackaged_files_terminate_build 0
+%py3_install
+#python3 setup.py install
+
+%files -n python3-torchmetrics
+%doc *.md
+%license LICENSE
+%{python3_sitelib}/*
+
+
+%changelog
+* 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