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        "author": "Cl\u00e9ment Pinard",
        "author_email": "clempinard@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3"
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        "description": "# Multiple smi\n\n### Look up GPU/CPU/RAM usage on multiple machines at the same time !\nintended to work with python 3+\n\nBased on [pyNVML](https://pypi.python.org/pypi/nvidia-ml-py3), and `psutil`.\n\n### Features\n- Allows you to get `nvidia-smi` output and `pustil`information for multiple connected computers at once, and display it on a a selected GUI.\n  - Availables frontends :\n      - Ubuntu Appindicator\n          - works best on Unity, partially supported on Gnome-shell\n      - [Argos](https://github.com/p-e-w/argos)\n          - works on Gnome shell, but also on MacOS thanks to [BitBar](https://getbitbar.com/) compatibility\n\n\n![status](https://github.com/ClementPinard/nvidia-multiple-smi/blob/master/images/status%20bar.png)\n\n- Allows you to get a notification every time a new process is launched or finished. A default minimum of 1GB memory use is needed for the notification to appear.\n  - Available notification backends :\n      - [gnome libnotify](https://developer.gnome.org/libnotify/)\n      - [ntfy](https://ntfy.readthedocs.io/en/latest/)\n\n![notif](https://github.com/ClementPinard/nvidia-multiple-smi/blob/master/images/Sans%20titre.png)\n\n- This tool is aimed at small research teams, with multiple GPU-equipped computers, which you can manually ssh to. At a glance you can see every usage of your computer stock, and where you can launch your computation. It also provides some basis if you want to develop a tool to automatically launch your computation on the least busy computer of your network.\n\n\n### installation:\n\n```[sudo] python3 setup.py install```\n```[sudo] pip3 install multiple-smi```\n\nIf using `appindicator` frontend or `gnome` notifier, it is advised to install it with system python, with which the `gi` package can be imported.\n\nFor `server_smi` it is also advised to install it with system python because then it will be available in `sudo` mode, needed to install the systemctl service.\n\n#### Optional note for Ubuntu 18+ users\n\nIf you want to use the appindicator fronted, as unity is replaced by Gnome-shell, you need to enable appindicators on gnome-shell with `gnome-tweak-tool`, and you need to install python bindings for Appindicator3 :\n\n```bash\nsudo apt install gir1.2-appindicator3-0.1\n```\n\n#### Server side services installation\n\nTo allow clients to access your computer's smi stats, simply run\n`server_smi`\n\nBut you can also enable it as a service that will be launched at boot.\n\n---------------------------\n\n- **Ubuntu 16+** :  A script is provided to automatically create the service file, whih will allow the server_smi to run automatically during boot (some options are available)\n```\nsudo install_server_service\n```\nto uninstall: \n```\nsudo install_server_service -u\n```\n(make the `systemd` folder specified is the same as during installation)\n\n- **Ubuntu 14** : you have to daemonize the script and put it in init.d, you can do it with the provided script `server_smi_daemon.sh`\n```\nsudo cp server_smi_daemon.sh /etc/init.d/.\nsudo chmod 0755 /etc/init.d/server_smi_daemon.sh\nsudo update-rc.d server_smi_daemon.sh defaults\n```\nto uninstall:\n```\nsudo update-rc.d -f service_smi_daemon.sh remove\n```\n\n### to run the appindicator\n\n`client_smi --frontend {argos,appindicator} --notify-backend {gnome,ntfy}`\n\n### to run the client_smi as only a CLI tool with no gui or notificaion:\n\n`client_smi`\n\n\n### Configuration:\n\nTo know which servers have a running `server_smi` in your local network, you can use the `discover_hosts` script, it will automatically populate a json file in `~/.client_smi/hosts_to_smi.json` with found machines.\n\n```\ndiscover_hosts\n```\n\nTo add your own hosts manually, simply run a `client_smi` or `discover_hosts` once and add your entries in the json file that should be created here:\n`~/.client_smi/hosts_to_smi.json`\n\n### Tunnel Connexion\n\nThanks to `pyzmq` backend for netork, a tunnel connexion is available, when you are outside your usual local network and have to go through a bastion.\n\nSimply launch `client_smi` with `--tunnel` option set to your bastion address\n\n```\nclient_smi --tunnel user@bastion_ip\n```\n\n### Gpu usage stats:\n\nServer-side, gpu usage history is stored in `~/.server_smi/{date}.csv` if launched from CLI, `/etc/server_smi/{date}.csv` if launched from systemctl/init.d.  Usage is written on it every ~60 sec, feel free to make some data science with it.\n\nTo enable it, you can use option `-s` in `install_server_service` or add it in `server_smi_daemon.sh` (line 6) before installing\n\n",
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