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%global _empty_manifest_terminate_build 0
Name: python-onnxconverter-common
Version: 1.13.0
Release: 1
Summary: ONNX Converter and Optimization Tools
License: MIT License
URL: https://github.com/microsoft/onnxconverter-common
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ec/44/54c6b7f1a28d919a15caf642113fb44651087d1bb0658f028c54b93df8e3/onnxconverter-common-1.13.0.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-onnx
Requires: python3-packaging
Requires: python3-protobuf
%description
| Linux | Windows |
|-------|---------|
| [](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|
# Introduction
The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
# License
[MIT License](LICENSE)
# Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
%package -n python3-onnxconverter-common
Summary: ONNX Converter and Optimization Tools
Provides: python-onnxconverter-common
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-onnxconverter-common
| Linux | Windows |
|-------|---------|
| [](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|
# Introduction
The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
# License
[MIT License](LICENSE)
# Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
%package help
Summary: Development documents and examples for onnxconverter-common
Provides: python3-onnxconverter-common-doc
%description help
| Linux | Windows |
|-------|---------|
| [](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=690&branchName=master)|
# Introduction
The onnxconverter-common package provides common functions and utilities for use in converters from various AI frameworks to ONNX. It also enables the different converters to work together to convert a model from mixed frameworks, like a scikit-learn pipeline embedding a xgboost model.
# License
[MIT License](LICENSE)
# Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
%prep
%autosetup -n onnxconverter-common-1.13.0
%build
%py3_build
%install
%py3_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}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
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}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-onnxconverter-common -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.13.0-1
- Package Spec generated
|
