Python库 | gpustat-0.4.0.tar.gz

`gpustat` ========= [][pypi_gpustat] [](https://travis-ci.org/wookayin/gpustat) [](LICENSE) Just *less* than nvidia-smi?  Usage ----- `$ gpustat` Options: * `--color` : Force colored output (even when stdout is not a tty) * `--no-color` : Suppress colored output * `-u`, `--show-user` : Display username of the process owner * `-c`, `--show-cmd` : Display the process name * `-p`, `--show-pid` : Display PID of the process * `-P`, `--show-power` : Display GPU power usage and/or limit (`draw` or `draw,limit`) * `--json` : JSON Output (Experimental, [#10][gh-issue-10]) ### Tips - To periodically watch, try `watch --color -n1.0 gpustat --color` (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]: ``` pip install gpustat ``` To install the latest version (master branch) via pip: ``` pip install git+https://github.com/wookayin/gpustat.git@master ``` If you don't have root privilege, please try to install on user namespace: `pip install --user`. Note that from v0.4, `gpustat.py` is no more a zero-dependency executable. However, in rare cases you'll need a single executable script (legacy), you can also try: ``` wget https://raw.githubusercontent.com/wookayin/gpustat/v0.3.2/gpustat.py -O ~/.local/bin/gpustat chmod +x ~/.local/bin/gpustat # Assuming ~/.local/bin is in your $PATH ``` [pypi_gpustat]: https://pypi.python.org/pypi/gpustat [gh-issue-10]: https://github.com/wookayin/gpustat/issues/10 License ------- [MIT License](LICENSE)