nvidia-ml-py3 | Python 3 Bindings for the NVIDIA Management Library | Machine Learning library

by nicolargo Python Version: Current License: No License

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

kandi X-RAY | nvidia-ml-py3 Summary

nvidia-ml-py3 is a Python library typically used in Artificial Intelligence, Machine Learning applications. nvidia-ml-py3 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Patched to support Python 3 (and Python 2) *. Provides a Python interface to GPU management and monitoring functions. This is a wrapper around the NVML library. For information about the NVML library, see the NVML developer page Download the latest package from: Note this file can be run with 'python -m doctest -v README.txt' although the results are system dependent.

Support

Quality

Security

License

Reuse

Support

nvidia-ml-py3 has a low active ecosystem.

It has 107 star(s) with 57 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nvidia-ml-py3 is current.

Quality

nvidia-ml-py3 has 0 bugs and 277 code smells.

Security

nvidia-ml-py3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nvidia-ml-py3 code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

nvidia-ml-py3 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nvidia-ml-py3 releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

nvidia-ml-py3 saves you 858 person hours of effort in developing the same functionality from scratch.

It has 1966 lines of code, 144 functions and 3 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed nvidia-ml-py3 and discovered the below as its top functions. This is intended to give you an instant insight into nvidia-ml-py3 implemented functionality, and help decide if they suit your requirements.

Returns the VML device query string
Retrieves the ecc memory of a device .
Load the library .
Retrieves the running graphics processes .
Returns a list of running processes .
Retrieves the throttling of the specified device .
Retrieves a list of supported graphics blocks .
Gets the supported memory locks .
Extracts the NVMLError classes .
Retrieves the hics version .

Get all kandi verified functions for this library.

nvidia-ml-py3 Key Features

No Key Features are available at this moment for nvidia-ml-py3.

nvidia-ml-py3 Examples and Code Snippets

No Code Snippets are available at this moment for nvidia-ml-py3.

Community Discussions

Trending Discussions on nvidia-ml-py3

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Python/Anaconda can not locate installed modules in conda environments

QUESTION

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Asked 2021-Oct-11 at 14:51

data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

...

ANSWER

Answered 2021-Oct-11 at 14:21

geopandas 0.10.1

have noted that your data is on kaggle, so start by sourcing it
there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
full code below, have randomly selected a point to serve as gpdPoint

Source https://stackoverflow.com/questions/69521034

QUESTION

Python/Anaconda can not locate installed modules in conda environments

Asked 2020-May-17 at 15:35

I am using anaconda as an environment manager for my code. When i installed anaconda and created the environments everything worked fine. But when i came back the next day and activated the environment i keep getting a ModuleNotFoundError

...

ANSWER

Answered 2020-May-17 at 15:35

This doesn't sound good: "When i installed python and anaconda i set both the installers to ADD TO PATH."

Anaconda is a Python distribution. You need this one installer only.
Don't add Anaconda's python.exe to the PATH. This is not how environments work.
If you want to work with Anaconda, you need to activate at least the base environment using the 'conda' environment manager. This is how Python can find e.g. numpy's C-libraries.
You can install Python from python.org in parallel to Anaconda, but this is asking for trouble.

Source https://stackoverflow.com/questions/61853111

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

Vulnerabilities

No vulnerabilities reported

Install nvidia-ml-py3

You can download it from GitHub.
You can use nvidia-ml-py3 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 .

Find more information at: