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%global _empty_manifest_terminate_build 0
Name: python-Keras-Applications
Version: 1.0.8
Release: 1
Summary: Reference implementations of popular deep learning models
License: MIT
URL: https://github.com/keras-team/keras-applications
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/21/56/4bcec5a8d9503a87e58e814c4e32ac2b32c37c685672c30bc8c54c6e478a/Keras_Applications-1.0.8.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-h5py
Requires: python3-pytest
Requires: python3-pytest-pep8
Requires: python3-pytest-xdist
Requires: python3-pytest-cov
%description
Keras Applications is the `applications` module of
the Keras deep learning library.
It provides model definitions and pre-trained weights for a number
of popular archictures, such as VGG16, ResNet50, Xception, MobileNet, and more.
Read the documentation at: https://keras.io/applications/
Keras Applications may be imported directly
from an up-to-date installation of Keras:
```
from keras import applications
```
Keras Applications is compatible with Python 2.7-3.6
and is distributed under the MIT license.
%package -n python3-Keras-Applications
Summary: Reference implementations of popular deep learning models
Provides: python-Keras-Applications
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-Keras-Applications
Keras Applications is the `applications` module of
the Keras deep learning library.
It provides model definitions and pre-trained weights for a number
of popular archictures, such as VGG16, ResNet50, Xception, MobileNet, and more.
Read the documentation at: https://keras.io/applications/
Keras Applications may be imported directly
from an up-to-date installation of Keras:
```
from keras import applications
```
Keras Applications is compatible with Python 2.7-3.6
and is distributed under the MIT license.
%package help
Summary: Development documents and examples for Keras-Applications
Provides: python3-Keras-Applications-doc
%description help
Keras Applications is the `applications` module of
the Keras deep learning library.
It provides model definitions and pre-trained weights for a number
of popular archictures, such as VGG16, ResNet50, Xception, MobileNet, and more.
Read the documentation at: https://keras.io/applications/
Keras Applications may be imported directly
from an up-to-date installation of Keras:
```
from keras import applications
```
Keras Applications is compatible with Python 2.7-3.6
and is distributed under the MIT license.
%prep
%autosetup -n Keras-Applications-1.0.8
%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-Keras-Applications -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.8-1
- Package Spec generated
|
