%global _empty_manifest_terminate_build 0 Name: python-keras-visualizer Version: 3.1.2 Release: 1 Summary: A Keras Model Visualizer License: MIT URL: https://github.com/lordmahyar/keras-visualizer Source0: https://mirrors.nju.edu.cn/pypi/web/packages/77/0a/3c061992d82687060bef130b3cd7e7862e0b929c5762dd6e814d04c96cef/keras-visualizer-3.1.2.tar.gz BuildArch: noarch Requires: python3-graphviz %description ### Example 2 ```python from keras import models, layers from keras_visualizer import visualizer model = models.Sequential() model.add(layers.Conv2D(64, (3, 3), input_shape=(28, 28, 3), activation='relu')) model.add(layers.MaxPooling2D((2, 2))) model.add(layers.Flatten()) model.add(layers.Dense(3)) model.add(layers.Dropout(0.5)) model.add(layers.Activation('sigmoid')) model.add(layers.Dense(1)) visualizer(model, file_format='png', view=True) ``` %package -n python3-keras-visualizer Summary: A Keras Model Visualizer Provides: python-keras-visualizer BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-keras-visualizer ### Example 2 ```python from keras import models, layers from keras_visualizer import visualizer model = models.Sequential() model.add(layers.Conv2D(64, (3, 3), input_shape=(28, 28, 3), activation='relu')) model.add(layers.MaxPooling2D((2, 2))) model.add(layers.Flatten()) model.add(layers.Dense(3)) model.add(layers.Dropout(0.5)) model.add(layers.Activation('sigmoid')) model.add(layers.Dense(1)) visualizer(model, file_format='png', view=True) ``` %package help Summary: Development documents and examples for keras-visualizer Provides: python3-keras-visualizer-doc %description help ### Example 2 ```python from keras import models, layers from keras_visualizer import visualizer model = models.Sequential() model.add(layers.Conv2D(64, (3, 3), input_shape=(28, 28, 3), activation='relu')) model.add(layers.MaxPooling2D((2, 2))) model.add(layers.Flatten()) model.add(layers.Dense(3)) model.add(layers.Dropout(0.5)) model.add(layers.Activation('sigmoid')) model.add(layers.Dense(1)) visualizer(model, file_format='png', view=True) ``` %prep %autosetup -n keras-visualizer-3.1.2 %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-visualizer -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 29 2023 Python_Bot - 3.1.2-1 - Package Spec generated