%global _empty_manifest_terminate_build 0 Name: python-keras-layer-normalization Version: 0.16.0 Release: 1 Summary: Layer normalization implemented in Keras License: MIT URL: https://github.com/CyberZHG/keras-layer-normalization Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9f/a0/b1266b0d852d10ac8339540d09fb90e38c198b6a2bcdeb3a881338d4a8fc/keras-layer-normalization-0.16.0.tar.gz BuildArch: noarch %description # Keras Layer Normalization [![Version](https://img.shields.io/pypi/v/keras-layer-normalization.svg)](https://pypi.org/project/keras-layer-normalization/) ![License](https://img.shields.io/pypi/l/keras-layer-normalization.svg) Implementation of the paper: [Layer Normalization](https://arxiv.org/pdf/1607.06450.pdf) ## Install ```bash pip install keras-layer-normalization ``` ## Usage ```python from tensorflow import keras from keras_layer_normalization import LayerNormalization input_layer = keras.layers.Input(shape=(2, 3)) norm_layer = LayerNormalization()(input_layer) model = keras.models.Model(inputs=input_layer, outputs=norm_layer) model.compile(optimizer='adam', loss='mse', metrics={},) model.summary() ``` %package -n python3-keras-layer-normalization Summary: Layer normalization implemented in Keras Provides: python-keras-layer-normalization BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-keras-layer-normalization # Keras Layer Normalization [![Version](https://img.shields.io/pypi/v/keras-layer-normalization.svg)](https://pypi.org/project/keras-layer-normalization/) ![License](https://img.shields.io/pypi/l/keras-layer-normalization.svg) Implementation of the paper: [Layer Normalization](https://arxiv.org/pdf/1607.06450.pdf) ## Install ```bash pip install keras-layer-normalization ``` ## Usage ```python from tensorflow import keras from keras_layer_normalization import LayerNormalization input_layer = keras.layers.Input(shape=(2, 3)) norm_layer = LayerNormalization()(input_layer) model = keras.models.Model(inputs=input_layer, outputs=norm_layer) model.compile(optimizer='adam', loss='mse', metrics={},) model.summary() ``` %package help Summary: Development documents and examples for keras-layer-normalization Provides: python3-keras-layer-normalization-doc %description help # Keras Layer Normalization [![Version](https://img.shields.io/pypi/v/keras-layer-normalization.svg)](https://pypi.org/project/keras-layer-normalization/) ![License](https://img.shields.io/pypi/l/keras-layer-normalization.svg) Implementation of the paper: [Layer Normalization](https://arxiv.org/pdf/1607.06450.pdf) ## Install ```bash pip install keras-layer-normalization ``` ## Usage ```python from tensorflow import keras from keras_layer_normalization import LayerNormalization input_layer = keras.layers.Input(shape=(2, 3)) norm_layer = LayerNormalization()(input_layer) model = keras.models.Model(inputs=input_layer, outputs=norm_layer) model.compile(optimizer='adam', loss='mse', metrics={},) model.summary() ``` %prep %autosetup -n keras-layer-normalization-0.16.0 %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-keras-layer-normalization -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Sun Apr 23 2023 Python_Bot - 0.16.0-1 - Package Spec generated