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@@ -0,0 +1 @@ +/coremltools-6.3.0.tar.gz diff --git a/python-coremltools.spec b/python-coremltools.spec new file mode 100644 index 0000000..11bae9d --- /dev/null +++ b/python-coremltools.spec @@ -0,0 +1,116 @@ +%global _empty_manifest_terminate_build 0 +Name: python-coremltools +Version: 6.3.0 +Release: 1 +Summary: Community Tools for Core ML +License: BSD +URL: https://github.com/apple/coremltools +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b3/1d/fdd85a22cca286a85d48721a95b6f59976daa99b02e90f71351bf7f31db9/coremltools-6.3.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-protobuf +Requires: python3-sympy +Requires: python3-tqdm +Requires: python3-packaging + +%description +`Core ML <http://developer.apple.com/documentation/coreml>`_ +is an Apple framework that allows developers to easily integrate +machine learning (ML) models into apps. Core ML is available on iOS, iPadOS, +watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel) +for a broad set of ML methods including deep neural networks (convolutional +and recurrent), tree ensembles (boosted trees, random forest, decision trees), +and generalized linear models. Core ML models can be directly integrated into +apps within Xcode. +the .mlmodel format. In particular, it can be used to: +- Convert trained models from popular machine learning tools into Core ML format + (.mlmodel). +- Write models to Core ML format with a simple API. +- Making predictions using the Core ML framework (on select platforms) to + verify conversion. + +%package -n python3-coremltools +Summary: Community Tools for Core ML +Provides: python-coremltools +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-coremltools +`Core ML <http://developer.apple.com/documentation/coreml>`_ +is an Apple framework that allows developers to easily integrate +machine learning (ML) models into apps. Core ML is available on iOS, iPadOS, +watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel) +for a broad set of ML methods including deep neural networks (convolutional +and recurrent), tree ensembles (boosted trees, random forest, decision trees), +and generalized linear models. Core ML models can be directly integrated into +apps within Xcode. +the .mlmodel format. In particular, it can be used to: +- Convert trained models from popular machine learning tools into Core ML format + (.mlmodel). +- Write models to Core ML format with a simple API. +- Making predictions using the Core ML framework (on select platforms) to + verify conversion. + +%package help +Summary: Development documents and examples for coremltools +Provides: python3-coremltools-doc +%description help +`Core ML <http://developer.apple.com/documentation/coreml>`_ +is an Apple framework that allows developers to easily integrate +machine learning (ML) models into apps. Core ML is available on iOS, iPadOS, +watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel) +for a broad set of ML methods including deep neural networks (convolutional +and recurrent), tree ensembles (boosted trees, random forest, decision trees), +and generalized linear models. Core ML models can be directly integrated into +apps within Xcode. +the .mlmodel format. In particular, it can be used to: +- Convert trained models from popular machine learning tools into Core ML format + (.mlmodel). +- Write models to Core ML format with a simple API. +- Making predictions using the Core ML framework (on select platforms) to + verify conversion. + +%prep +%autosetup -n coremltools-6.3.0 + +%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-coremltools -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 6.3.0-1 +- Package Spec generated @@ -0,0 +1 @@ +f042f39fbfb58be772185b92f725c2bb coremltools-6.3.0.tar.gz |