%global _empty_manifest_terminate_build 0 Name: python-tensor2tensor Version: 1.15.7 Release: 1 Summary: Tensor2Tensor License: Apache 2.0 URL: http://github.com/tensorflow/tensor2tensor Source0: https://mirrors.nju.edu.cn/pypi/web/packages/89/0e/0b7a98efb7d91adbf5dc6a6b66eb513c6a5f1a770f4627f129d7368485a8/tensor2tensor-1.15.7.tar.gz BuildArch: noarch Requires: python3-absl-py Requires: python3-bz2file Requires: python3-dopamine-rl Requires: python3-flask Requires: python3-future Requires: python3-gevent Requires: python3-gin-config Requires: python3-google-api-python-client Requires: python3-gunicorn Requires: python3-gym Requires: python3-h5py Requires: python3-kfac Requires: python3-mesh-tensorflow Requires: python3-numpy Requires: python3-oauth2client Requires: python3-opencv-python Requires: python3-Pillow Requires: python3-pypng Requires: python3-requests Requires: python3-scipy Requires: python3-six Requires: python3-sympy Requires: python3-tensorflow-addons Requires: python3-tensorflow-datasets Requires: python3-tensorflow-gan Requires: python3-tensorflow-probability Requires: python3-tf-slim Requires: python3-tqdm Requires: python3-Pillow Requires: python3-pandas Requires: python3-tensorflow Requires: python3-tensorflow-hub Requires: python3-attrs Requires: python3-pytest Requires: python3-mock Requires: python3-jupyter Requires: python3-matplotlib %description Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now in maintenance mode -- we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. %package -n python3-tensor2tensor Summary: Tensor2Tensor Provides: python-tensor2tensor BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-tensor2tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now in maintenance mode -- we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. %package help Summary: Development documents and examples for tensor2tensor Provides: python3-tensor2tensor-doc %description help Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now in maintenance mode -- we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. %prep %autosetup -n tensor2tensor-1.15.7 %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-tensor2tensor -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 1.15.7-1 - Package Spec generated