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%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 <Python_Bot@openeuler.org> - 0.7.2-1
- Package Spec generated
|
