gpumonitor | TF 2.x and PyTorch Lightning Callbacks for GPU monitoring | Monitoring library

by sicara Python Version: 0.1.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gpumonitor Summary

gpumonitor is a Python library typically used in Performance Management, Monitoring, Deep Learning, Pytorch, Tensorflow applications. gpumonitor has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install gpumonitor' or download it from GitHub, PyPI.

gpumonitor gives you stats about GPU usage during execution of your scripts and trainings, as TensorFlow or Pytorch Lightning callbacks.

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Quality

Security

License

Reuse

Support

gpumonitor has a low active ecosystem.

It has 90 star(s) with 7 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gpumonitor is 0.1.2

Quality

gpumonitor has 0 bugs and 0 code smells.

Security

gpumonitor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gpumonitor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gpumonitor is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

gpumonitor releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

gpumonitor saves you 91 person hours of effort in developing the same functionality from scratch.

It has 232 lines of code, 23 functions and 8 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gpumonitor and discovered the below as its top functions. This is intended to give you an instant insight into gpumonitor implemented functionality, and help decide if they suit your requirements.

Loop forever
Add an entry to the average stats collection
Calculates the average average value for the given attribute
Perform a single training step
Forward softmax
Calculate the cross entropy loss
Displays average statistics per GPU
Display the average stats per GPU
Stop the process
Performs validation step
Displays average statistics per GPU

Get all kandi verified functions for this library.

gpumonitor Key Features

No Key Features are available at this moment for gpumonitor.

gpumonitor Examples and Code Snippets

No Code Snippets are available at this moment for gpumonitor.

Community Discussions

Trending Discussions on gpumonitor

Compilation failed: org.gradle.internal.exceptions.LocationAwareException

QUESTION

Compilation failed: org.gradle.internal.exceptions.LocationAwareException

Asked 2020-May-25 at 03:10

i want to build my project but suddenly that error comes from nowhere. there are no error in my project. please someone help me

my gradle

...

ANSWER

Answered 2018-Apr-03 at 13:46

Try to invalidate caches in Android Studio (File -> Invalidate Caches/Restart -> Invalidate and Restart). Then sync Gradle, clean project and run.

If this doesn't help, try to remove dependencies one by one and see which one is causing troubles.

Source https://stackoverflow.com/questions/49631154

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gpumonitor

Installation can be done directly from this repository:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: