Metadata-Version: 1.1
Name: gpustat
Version: 0.3.1
Summary: An utility to monitor NVIDIA GPU status (wrapper of nvidia-smi)
Home-page: https://github.com/wookayin/gpustat
Author: Jongwook Choi
Author-email: wookayin@gmail.com
License: MIT
Description: `gpustat`
        =========
        
        [![pypi](https://img.shields.io/pypi/v/gpustat.svg?maxAge=86400)][pypi_gpustat]
        [![Build Status](https://travis-ci.org/wookayin/gpustat.svg?branch=master)](https://travis-ci.org/wookayin/gpustat)
        [![license](https://img.shields.io/github/license/wookayin/gpustat.svg?maxAge=86400)](LICENSE)
        
        Just *less* than nvidia-smi?
        
        ![Screenshot: gpustat -cp](screenshot.png)
        
        Usage
        -----
        
        `$ gpustat`
        
        Options:
        
        * `--no-color`        : Suppress color (by default, color is enabled)
        * `-u`, `--show-user` : Display username of the process owner
        * `-c`, `--show-cmd`  : Display the process name
        * `-p`, `--show-pid`  : Display PID of the process
        * `--json`            : JSON Output (Experimental, #10)
        
        ### Tips
        
        - To periodically watch, try `watch --color -n1.0 gpustat` (built-in watch support will be added soon).
        - Running `nvidia-smi daemon` (root privilege required) will make the query much **faster**.
        - The GPU ID (index) shown by `gpustat` (and `nvidia-smi`) is PCI BUS ID,
          while CUDA differently assigns the fastest GPU with the lowest ID by default.
          Therefore, in order to make CUDA and `gpustat` use **same GPU index**,
          configure the `CUDA_DEVICE_ORDER` environment variable to `PCI_BUS_ID`
          (before setting `CUDA_VISIBLE_DEVICES` for your CUDA program):
          `export CUDA_DEVICE_ORDER=PCI_BUS_ID`
        
        
        Quick Installation
        ------------------
        
        Install from [PyPI][pypi_gpustat]:
        
        ```
        sudo pip install gpustat
        ```
        
        To install the latest version (master branch) via pip:
        
        ```
        pip install git+https://github.com/wookayin/gpustat.git@master
        ```
        
        Alternatively, you can just download an *unstable* version of [gpustat.py][script_gitio] (or any [stable version][script_stable]) into somewhere in `PATH`, e.g. `~/.local/bin/`
        (when you do not have root privilege, for example):
        
        ```
        sudo wget https://git.io/gpustat.py -O /usr/local/bin/gpustat && sudo chmod +x /usr/local/bin/gpustat
        ```
        
        [pypi_gpustat]: https://pypi.python.org/pypi/gpustat
        [script_gitio]: https://git.io/gpustat.py
        [script_stable]: https://raw.githubusercontent.com/wookayin/gpustat/v0.2.0/gpustat.py
        
        
        License
        -------
        
        [MIT License](LICENSE)
        
Keywords: nvidia-smi gpu cuda monitoring gpustat
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: System :: Monitoring
