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Find unoccupied gpus in a multi gpu system by parsing gpu stats from nvidia-smi

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lorenz-h/nvsmpy_V1

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nvsmpy

This module makes it easy to find available gpus in a multi gpu system. It was tested on Ubuntu 16.04 and Windows 10. The most common use case is machine learning on a gpu server shared among multiple users. It calls nvidia-smi in a subprocess and parses it's output to find all gpus which are currently unused.

Requirements

  • Python >= 3.6 (Most likely backwards compatible to all versions of 3.x and if you remove f-strings and type hints)
  • nvidia-smi (Tested with versions 410.104 and 425.25)

Usage

You can use nvsmpy find unoccupied GPUs in your system. The criteria for this are defined in available.py.

from nvsmpy import get_free_gpu_ids

free_gpus = get_free_gpu_ids()

Using nvsmpy you can query nvidia-smi directly. To generate a list of queries supported by your system run setup.py, which will create a json file in the nvsmpy folder.

from nvsmpy import query
utils = query("temperature.memory")

Furthermore you can display the nice system overview that nvidia-smi generates:

from nvsmpy import print_gpu_stats
print_gpu_stats()

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Find unoccupied gpus in a multi gpu system by parsing gpu stats from nvidia-smi

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