gpu-tracker

v3.0.2

Tracks computational resources of a process and its child processes, most prominently GPU RAM, as well as RAM, compute time, and CPU utilization. For more information about how to use this package see README

Latest version published 1 month ago

License: The Clear BSD License Copyri…

PyPI

GitHub

Package Health Score

68 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Limited

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Popularity

Small

GitHub Stars: 4
Forks: 1
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package gpu-tracker, we found that it has been starred 4 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 25, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

The Clear BSD License Copyright (c) 2024, Erik D. Huckvale, and Hunter N.B. Moseley All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. * If the source code is used in a published work, then proper citation of the source code must be included with the published work. NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 5
Open PR: 0
Last Release: 1 month ago
Last Commit: 5 months ago

Further analysis of the maintenance status of gpu-tracker based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that gpu-tracker demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.10

Age: 7 months
Latest Release: 1 month ago
Dependencies: 0 Direct
Versions: 9
Maintainers: 2
Wheels: OS Independent

Readme

gpu_tracker

Description

The gpu_tracker package provides a Tracker class and a commandline-interface that tracks (profiles) the usage of compute time, CPU utilization, maximum RAM, GPU utilization, 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. If the Nvidia drivers have not been installed, then the max GPU RAM is not tracked and measurements are reported as 0. 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.

NOTE: The tracking occurs in a separate process. To maximize the accuracy of the reported resource usage, you may want to have a core available solely for the tracking process e.g. if your job uses 3 workers, you may want to allocate 4 cores.

NOTE: Since the tracking process is created using the Python multiprocessing library, if done so using the "spawn" start method (default on MacOS and Windows) or the "forkserver" method, you may get a runtime error after starting the tracking. To prevent this, you'll need to start the tracker after checking if __name__ == '__main__'. See "Safe importing of main module" under The spawn and forkserver start methods for more information.

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: .

FAQs

What is gpu-tracker?

Tracks computational resources of a process and its child processes, most prominently GPU RAM, as well as RAM, compute ... Visit Snyk Advisor to see a full health score report for gpu-tracker, including popularity, security, maintenance & community analysis.

Is gpu-tracker popular?

The python package gpu-tracker receives a total of 2,912 weekly downloads. As such, gpu-tracker popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is gpu-tracker well maintained?

We found that gpu-tracker demonstrated a healthy version release cadence and project activity. It has a community of 0 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is gpu-tracker safe to use?

The python package gpu-tracker was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 28 October-2024, at 13:15 (UTC).

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