%global _empty_manifest_terminate_build 0 Name: python-larq-zoo Version: 2.3.1 Release: 1 Summary: Reference implementations of popular Binarized Neural Networks License: Apache 2.0 URL: https://github.com/plumerai/larq-zoo Source0: https://mirrors.nju.edu.cn/pypi/web/packages/22/6f/be82c107662a9855a3cad052c31a5108929f4b6f466ff3df4b6821d0d671/larq-zoo-2.3.1.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-packaging Requires: python3-larq Requires: python3-zookeeper Requires: python3-importlib-metadata Requires: python3-tensorflow Requires: python3-tensorflow-gpu Requires: python3-black Requires: python3-flake8 Requires: python3-isort Requires: python3-pytype Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-mock Requires: python3-pytest-xdist Requires: python3-Pillow Requires: python3-tensorflow-datasets %description # Larq Zoo [![GitHub Actions](https://github.com/larq/zoo/workflows/Unittest/badge.svg)](https://github.com/larq/zoo/actions?workflow=Unittest) [![Codecov](https://img.shields.io/codecov/c/github/larq/zoo)](https://codecov.io/github/larq/zoo?branch=main) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI](https://img.shields.io/pypi/v/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI - License](https://img.shields.io/pypi/l/larq-zoo.svg)](https://github.com/plumerai/larq-zoo/blob/main/LICENSE) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) For more information, see [larq.dev/zoo](https://docs.larq.dev/zoo/). *Larq Zoo is part of a family of libraries for BNN development; you can also check out [Larq](https://github.com/larq/larq) for building and training BNNs and [Larq Compute Engine](https://github.com/larq/compute-engine) for deployment on mobile and edge devices.* ## Requirements Before installing Larq Zoo, please install: - [Python](https://python.org) version `3.6`, `3.7`, `3.8`, or `3.9` - [Tensorflow](https://www.tensorflow.org/install) version `1.15`, `2.0`, `2.1`, `2.2`, `2.3`, `2.4`, `2.5`, `2.6`, 2.7`, or `2.8` ## Installation You can install Larq Zoo with Python's [pip](https://pip.pypa.io/en/stable/) package manager: ```shell pip install larq-zoo ``` ## About Larq Zoo is being developed by a team of deep learning researchers and engineers at Plumerai to help accelerate both our own research and the general adoption of Binarized Neural Networks. %package -n python3-larq-zoo Summary: Reference implementations of popular Binarized Neural Networks Provides: python-larq-zoo BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-larq-zoo # Larq Zoo [![GitHub Actions](https://github.com/larq/zoo/workflows/Unittest/badge.svg)](https://github.com/larq/zoo/actions?workflow=Unittest) [![Codecov](https://img.shields.io/codecov/c/github/larq/zoo)](https://codecov.io/github/larq/zoo?branch=main) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI](https://img.shields.io/pypi/v/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI - License](https://img.shields.io/pypi/l/larq-zoo.svg)](https://github.com/plumerai/larq-zoo/blob/main/LICENSE) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) For more information, see [larq.dev/zoo](https://docs.larq.dev/zoo/). *Larq Zoo is part of a family of libraries for BNN development; you can also check out [Larq](https://github.com/larq/larq) for building and training BNNs and [Larq Compute Engine](https://github.com/larq/compute-engine) for deployment on mobile and edge devices.* ## Requirements Before installing Larq Zoo, please install: - [Python](https://python.org) version `3.6`, `3.7`, `3.8`, or `3.9` - [Tensorflow](https://www.tensorflow.org/install) version `1.15`, `2.0`, `2.1`, `2.2`, `2.3`, `2.4`, `2.5`, `2.6`, 2.7`, or `2.8` ## Installation You can install Larq Zoo with Python's [pip](https://pip.pypa.io/en/stable/) package manager: ```shell pip install larq-zoo ``` ## About Larq Zoo is being developed by a team of deep learning researchers and engineers at Plumerai to help accelerate both our own research and the general adoption of Binarized Neural Networks. %package help Summary: Development documents and examples for larq-zoo Provides: python3-larq-zoo-doc %description help # Larq Zoo [![GitHub Actions](https://github.com/larq/zoo/workflows/Unittest/badge.svg)](https://github.com/larq/zoo/actions?workflow=Unittest) [![Codecov](https://img.shields.io/codecov/c/github/larq/zoo)](https://codecov.io/github/larq/zoo?branch=main) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI](https://img.shields.io/pypi/v/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI - License](https://img.shields.io/pypi/l/larq-zoo.svg)](https://github.com/plumerai/larq-zoo/blob/main/LICENSE) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) For more information, see [larq.dev/zoo](https://docs.larq.dev/zoo/). *Larq Zoo is part of a family of libraries for BNN development; you can also check out [Larq](https://github.com/larq/larq) for building and training BNNs and [Larq Compute Engine](https://github.com/larq/compute-engine) for deployment on mobile and edge devices.* ## Requirements Before installing Larq Zoo, please install: - [Python](https://python.org) version `3.6`, `3.7`, `3.8`, or `3.9` - [Tensorflow](https://www.tensorflow.org/install) version `1.15`, `2.0`, `2.1`, `2.2`, `2.3`, `2.4`, `2.5`, `2.6`, 2.7`, or `2.8` ## Installation You can install Larq Zoo with Python's [pip](https://pip.pypa.io/en/stable/) package manager: ```shell pip install larq-zoo ``` ## About Larq Zoo is being developed by a team of deep learning researchers and engineers at Plumerai to help accelerate both our own research and the general adoption of Binarized Neural Networks. %prep %autosetup -n larq-zoo-2.3.1 %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-larq-zoo -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 15 2023 Python_Bot - 2.3.1-1 - Package Spec generated