%global _empty_manifest_terminate_build 0 Name: tensorflow Version: 2.8.2 Release: 1 Summary: An Open Source Machine Learning Framework for Everyone License: Apache License 2.0 URL: https://www.tensorflow.org/ Source0: https://github.com/tensorflow/tensorflow/archive/v%{version}.tar.gz#/tensorflow-%{version}.tar.gz #sh -x updateSource1.sh Source1: external-%{_arch}.tar.bz2.partaa Source2: external-%{_arch}.tar.bz2.partab Requires: python3-future python3-numpy %description TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well. TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages. %package -n python3-tensorflow Summary: An Open Source Machine Learning Framework for Everyone Provides: python-tensorflow #It is because external-$(arch).tar.bz2 is built on bazel 3.5.0 BuildRequires: bazel == 4.2.1 gcc gcc-c++ git BuildRequires: python3-numpy python3-devel python3-Keras-Preprocessing python3-pip python3-wheel %description -n python3-tensorflow TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well. TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages. %prep %autosetup -p1 extdir=$(bazel --output_user_root=`pwd`/../output_user_root info output_base) mkdir -p ${extdir} cat %{SOURCE1} %{SOURCE2} > external-%{_arch}.tar.bz2 tar xf external-%{_arch}.tar.bz2 -C ${extdir} ln -sfn $(find ${extdir}/../install -name embedded_tools) ${extdir}/external/bazel_tools ln -sfn $(find ${extdir}/../install -maxdepth 2 -name platforms) ${extdir}/external/platforms rm -rf ${extdir}/external/local_config* %build mkdir -p ${HOME}/.local/bin ln -s -f -T $(command -v python3) ${HOME}/.local/bin/python export PATH=${HOME}/.local/bin:$PATH bazel --output_user_root=`pwd`/../output_user_root build --host_copt=-Wno-stringop-truncation //tensorflow/tools/pip_package:build_pip_package ./bazel-bin/tensorflow/tools/pip_package/build_pip_package dist %install %py3_install_wheel * %files -n python3-tensorflow %{python3_sitearch}/* %{_bindir}/* %changelog * Thu Jun 23 2022 zhangshaoning -2.8.2-1 - update version to 2.8.2 - fix some cves * Wed Sep 30 2020 Zhipeng Xie - 2.3.1-1 - Package init