gpu-tracker 2.0.1

Tracks computational resources of a process and its child processes, most prominently GPU RAM, as well as RAM and compute time.

Description

The gpu_tracker package provides a Tracker class and a commandline-interface that tracks (profiles) the usage of compute time, maximum RAM, and maximum GPU RAM. The compute time is a measurement of the real time taken by the task as opposed to the CPU-utilization time. The GPU tracking is for Nvidia GPUs and uses the nvidia-smi command, assuming the Nvidia drivers have been installed. Computational resources are tracked throughout the duration of a context manager or the duration of explicit calls to the start() and stop() methods of the Tracker class. The gpu-tracker command-line interface alternatively tracks the computational-resource-usage of an arbitrary shell command.

Documentation

The complete documentation for the gpu_tracker package, including tutorials, can be found here.

Installation

Requires python 3.10 and above.

Install on Linux, Mac OS X

python3 -m pip install gpu-tracker

Install on Windows

py -3 -m pip install gpu-tracker

PyPi

See our PyPi page here.

Questions, Feature Requests, and Bug Reports

Please submit any questions or feature requests you may have and report any potential bugs/errors you observe on our GitHub issues page.

GitHub Repository

Code is available on GitHub: https://github.com/MoseleyBioinformaticsLab/gpu_tracker.