%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 | |-------|---------| | [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?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 | |-------|---------| | [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?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 | |-------|---------| | [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/linux-conda-CI?branchName=master)](https://aiinfra.visualstudio.com/ONNX%20Converters/_build/latest?definitionId=689&branchName=master)| [![Build Status](https://aiinfra.visualstudio.com/ONNX%20Converters/_apis/build/status/common-win32-conda-CI?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 * Fri Apr 21 2023 Python_Bot - 1.13.0-1 - Package Spec generated