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%global _empty_manifest_terminate_build 0
Name: python-nvitop
Version: 1.1.2
Release: 1
Summary: An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
License: Apache License, Version 2.0 (Apache-2.0) & GNU General Public License, Version 3 (GPL-3.0)
URL: https://github.com/XuehaiPan/nvitop
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c2/b9/3d7c9182a403043deb2bf76c7cc3a76eb44b9c4de90387fe5ec8f158b224/nvitop-1.1.2.tar.gz
BuildArch: noarch
Requires: python3-nvidia-ml-py
Requires: python3-psutil
Requires: python3-cachetools
Requires: python3-termcolor
Requires: python3-colorama
Requires: python3-windows-curses
Requires: python3-nvidia-ml-py
Requires: python3-black
Requires: python3-isort
Requires: python3-pylint[spelling]
Requires: python3-pre-commit
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
Requires: python3-nvidia-ml-py
%description
`nvitop` is an interactive NVIDIA device and process monitoring tool. It has a colorful and informative interface that continuously updates the status of the devices and processes. As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a [CUDA device selection tool `nvisel`](#cuda-visible-devices-selection-tool) for deep learning researchers. It also provides handy APIs that allow developers to write their own monitoring tools. Please refer to section [More than a Monitor](#more-than-a-monitor) and the full API references at <https://nvitop.readthedocs.io> for more information.
<p align="center">
<img width="100%" src="https://user-images.githubusercontent.com/16078332/202362811-34f2c01d-97c8-49d2-b19b-0d7da648f2d5.png" alt="Filter">
<br/>
Process filtering and more colorful interface.
</p>
<p align="center">
<img width="100%" src="https://user-images.githubusercontent.com/16078332/202362686-859bf4ad-6237-46ca-b2f7-f547d2f63213.png" alt="Comparison">
<br/>
Compare to <code>nvidia-smi</code>.
%package -n python3-nvitop
Summary: An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Provides: python-nvitop
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-nvitop
`nvitop` is an interactive NVIDIA device and process monitoring tool. It has a colorful and informative interface that continuously updates the status of the devices and processes. As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a [CUDA device selection tool `nvisel`](#cuda-visible-devices-selection-tool) for deep learning researchers. It also provides handy APIs that allow developers to write their own monitoring tools. Please refer to section [More than a Monitor](#more-than-a-monitor) and the full API references at <https://nvitop.readthedocs.io> for more information.
<p align="center">
<img width="100%" src="https://user-images.githubusercontent.com/16078332/202362811-34f2c01d-97c8-49d2-b19b-0d7da648f2d5.png" alt="Filter">
<br/>
Process filtering and more colorful interface.
</p>
<p align="center">
<img width="100%" src="https://user-images.githubusercontent.com/16078332/202362686-859bf4ad-6237-46ca-b2f7-f547d2f63213.png" alt="Comparison">
<br/>
Compare to <code>nvidia-smi</code>.
%package help
Summary: Development documents and examples for nvitop
Provides: python3-nvitop-doc
%description help
`nvitop` is an interactive NVIDIA device and process monitoring tool. It has a colorful and informative interface that continuously updates the status of the devices and processes. As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a [CUDA device selection tool `nvisel`](#cuda-visible-devices-selection-tool) for deep learning researchers. It also provides handy APIs that allow developers to write their own monitoring tools. Please refer to section [More than a Monitor](#more-than-a-monitor) and the full API references at <https://nvitop.readthedocs.io> for more information.
<p align="center">
<img width="100%" src="https://user-images.githubusercontent.com/16078332/202362811-34f2c01d-97c8-49d2-b19b-0d7da648f2d5.png" alt="Filter">
<br/>
Process filtering and more colorful interface.
</p>
<p align="center">
<img width="100%" src="https://user-images.githubusercontent.com/16078332/202362686-859bf4ad-6237-46ca-b2f7-f547d2f63213.png" alt="Comparison">
<br/>
Compare to <code>nvidia-smi</code>.
%prep
%autosetup -n nvitop-1.1.2
%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-nvitop -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.2-1
- Package Spec generated
|
