%global _empty_manifest_terminate_build 0 Name: python-tez Version: 0.7.2 Release: 1 Summary: tez - a simple pytorch trainer License: Apache License URL: https://github.com/abhishekkrthakur/tez Source0: https://mirrors.nju.edu.cn/pypi/web/packages/94/0d/da47acc0a39f46447c8eef492cb458ae4b7ff2249acf90b9a2ecef13acad/tez-0.7.2.tar.gz BuildArch: noarch Requires: python3-loguru Requires: python3-accelerate Requires: python3-tqdm %description # Tez: a simple pytorch trainer **NOTE: Currently, we are not accepting any pull requests! All PRs will be closed. If you want a feature or something doesn't work, please create an issue.** tez (तेज़ / تیز) means sharp, fast & active. This is a simple, to-the-point, library to make your pytorch training easy. _This library is in early-stage currently! So, there might be breaking changes._ ### Idea around tez is simple: - keep things as simple as possible - make it as customizable as possible - clean code - faster prototyping - production ready Currently, tez supports cpu, single gpu and multi-gpu & tpu training. More coming soon! Using tez is super-easy. We don't want you to be far away from pytorch. So, you do everything on your own and just use tez to make a few things simpler. %package -n python3-tez Summary: tez - a simple pytorch trainer Provides: python-tez BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-tez # Tez: a simple pytorch trainer **NOTE: Currently, we are not accepting any pull requests! All PRs will be closed. If you want a feature or something doesn't work, please create an issue.** tez (तेज़ / تیز) means sharp, fast & active. This is a simple, to-the-point, library to make your pytorch training easy. _This library is in early-stage currently! So, there might be breaking changes._ ### Idea around tez is simple: - keep things as simple as possible - make it as customizable as possible - clean code - faster prototyping - production ready Currently, tez supports cpu, single gpu and multi-gpu & tpu training. More coming soon! Using tez is super-easy. We don't want you to be far away from pytorch. So, you do everything on your own and just use tez to make a few things simpler. %package help Summary: Development documents and examples for tez Provides: python3-tez-doc %description help # Tez: a simple pytorch trainer **NOTE: Currently, we are not accepting any pull requests! All PRs will be closed. If you want a feature or something doesn't work, please create an issue.** tez (तेज़ / تیز) means sharp, fast & active. This is a simple, to-the-point, library to make your pytorch training easy. _This library is in early-stage currently! So, there might be breaking changes._ ### Idea around tez is simple: - keep things as simple as possible - make it as customizable as possible - clean code - faster prototyping - production ready Currently, tez supports cpu, single gpu and multi-gpu & tpu training. More coming soon! Using tez is super-easy. We don't want you to be far away from pytorch. So, you do everything on your own and just use tez to make a few things simpler. %prep %autosetup -n tez-0.7.2 %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-tez -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 0.7.2-1 - Package Spec generated