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%global _empty_manifest_terminate_build 0
Name: python-backend.ai-accelerator-cuda
Version: 2.0.1
Release: 1
Summary: Backend.AI Accelerator Plugin for CUDA
License: LGPLv3
URL: https://backend.ai
Source0: https://mirrors.aliyun.com/pypi/web/packages/09/01/957e77caa7001c9b5e863dba92e83892da93a49847231878f74f2e83890e/backend.ai-accelerator-cuda-2.0.1.tar.gz
BuildArch: noarch
Requires: python3-aiohttp
Requires: python3-attrs
Requires: python3-wheel
Requires: python3-twine
Requires: python3-pytest-sugar
Requires: python3-pytest
Requires: python3-pytest-asyncio
Requires: python3-pytest-cov
Requires: python3-pytest-mock
Requires: python3-asynctest
Requires: python3-flake8
Requires: python3-mypy
Requires: python3-codecov
%description
Just install this along with Backend.AI agents, using the same virtual environment.
This will allow the agents to detect CUDA devices on their hosts and make them
available to Backend.AI kernel sessions.
```console
$ pip install backend.ai-accelerator-cuda
```
This open-source edition of CUDA plugins support allocation of one or more CUDA
devices to a container, slot-by-slot.
%package -n python3-backend.ai-accelerator-cuda
Summary: Backend.AI Accelerator Plugin for CUDA
Provides: python-backend.ai-accelerator-cuda
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-backend.ai-accelerator-cuda
Just install this along with Backend.AI agents, using the same virtual environment.
This will allow the agents to detect CUDA devices on their hosts and make them
available to Backend.AI kernel sessions.
```console
$ pip install backend.ai-accelerator-cuda
```
This open-source edition of CUDA plugins support allocation of one or more CUDA
devices to a container, slot-by-slot.
%package help
Summary: Development documents and examples for backend.ai-accelerator-cuda
Provides: python3-backend.ai-accelerator-cuda-doc
%description help
Just install this along with Backend.AI agents, using the same virtual environment.
This will allow the agents to detect CUDA devices on their hosts and make them
available to Backend.AI kernel sessions.
```console
$ pip install backend.ai-accelerator-cuda
```
This open-source edition of CUDA plugins support allocation of one or more CUDA
devices to a container, slot-by-slot.
%prep
%autosetup -n backend.ai-accelerator-cuda-2.0.1
%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-backend.ai-accelerator-cuda -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.1-1
- Package Spec generated
|
