GPU-Monitor | GPU resource monitoring and task management | Monitoring library

by Ze-Yang Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | GPU-Monitor Summary

GPU-Monitor is a Python library typically used in Performance Management, Monitoring, Deep Learning applications. GPU-Monitor has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However GPU-Monitor build file is not available. You can download it from GitHub.

GPU resource monitoring and task management

Support

Quality

Security

License

Reuse

Support

GPU-Monitor has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

GPU-Monitor has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of GPU-Monitor is current.

Quality

GPU-Monitor has no bugs reported.

Security

GPU-Monitor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

GPU-Monitor 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

GPU-Monitor releases are not available. You will need to build from source code and install.

GPU-Monitor has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Sends an email .
Display information about the GPUs .
Parse command line arguments .
Train model .
Train the model .
Return a random item .
Length of the message

Get all kandi verified functions for this library.

GPU-Monitor Key Features

No Key Features are available at this moment for GPU-Monitor.

GPU-Monitor Examples and Code Snippets

No Code Snippets are available at this moment for GPU-Monitor.

Community Discussions

Trending Discussions on GPU-Monitor

How to P/Invoke a function with an unknown struct in C#?

Adding password for gpu-monitoring-tools?

QUESTION

How to P/Invoke a function with an unknown struct in C#?

Asked 2021-Feb-19 at 00:03

I know this sounds really strange, but I don't know how to even ask this properly. I've been trying to P/Invoke into NVidia's NVML library with limited success: I've managed to call a few of the APIs exported by that library

Now I am trying to call nvmlDeviceGetHandleByIndex_v2 but I've been stuck for a long while on this one. It takes in a nvmlDevice_t pointer, but I've found nothing on what nvmlDevice_t actually is beyond this header definition:

...

ANSWER

Answered 2021-Feb-19 at 00:03

If you look at the source, that is just an internal pointer used by the SDK. The value it points to has no meaning to you. You use it to identify a device you are working with.

Think Handle or HWND in Windows. You call something like FindWindow(), it returns what seems to be a random value back to you. You don't care what that value holds, you just use that value to identify that window when you call GetWindowText() or any other windowing methods.

So, you are on the right track with using ref int, but what you want is a pointer. So you should use out IntPtr to get the value.

Source https://stackoverflow.com/questions/66269655

QUESTION

Adding password for gpu-monitoring-tools?

Asked 2019-Oct-08 at 14:45

I was testing gpu-monitoring-tools for our cluster but wondered how to add password for it. Could someone give me guidance? If I install the gpu-monitoring-tools with helm like described in the link, it doesn't require any credentials to see the metrics and I wonder how to add the password.

...

ANSWER

Answered 2019-Oct-03 at 06:04

The default username and password for grafana is, admin:admin. While logging in using these you will get option to change username and password.

Source https://stackoverflow.com/questions/58211574

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

Vulnerabilities

No vulnerabilities reported

Install GPU-Monitor

You can download it from GitHub.
You can use GPU-Monitor like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

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