pyculib | Pyculib - Python bindings for CUDA libraries | GPU library

by numba Python Version: Current License: BSD-2-Clause

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

kandi X-RAY | pyculib Summary

pyculib is a Python library typically used in Hardware, GPU, Numpy applications. pyculib has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However pyculib has 3 bugs. You can download it from GitHub.

Pyculib - Python bindings for CUDA libraries

Support

Quality

Security

License

Reuse

Support

pyculib has a low active ecosystem.

It has 78 star(s) with 12 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 15 open issues and 8 have been closed. On average issues are closed in 207 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyculib is current.

Quality

pyculib has 3 bugs (1 blocker, 0 critical, 1 major, 1 minor) and 637 code smells.

Security

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

pyculib code analysis shows 0 unresolved vulnerabilities.

There are 35 security hotspots that need review.

License

pyculib is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

pyculib 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.

pyculib saves you 4321 person hours of effort in developing the same functionality from scratch.

It has 9158 lines of code, 836 functions and 40 files.

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

Top functions reviewed by kandi - BETA

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

Return a dict of the command class to use .
Return a list of git pieces from VCS .
Create the versioneer config file .
Auto - l2 l2 functions .
Extract git versions from keywords .
Compute the GMM .
r Compute the value of a wavefunction .
Compute the inner product of two matrices .
Return git versions .
Get project root directory .

Get all kandi verified functions for this library.

pyculib Key Features

No Key Features are available at this moment for pyculib.

pyculib Examples and Code Snippets

No Code Snippets are available at this moment for pyculib.

Community Discussions

Trending Discussions on pyculib

Anaconda PyCulib and CUDA Issues

QUESTION

Anaconda PyCulib and CUDA Issues

Asked 2018-Apr-06 at 18:33

I'm trying to use PyCulib for GPU calculations and Anaconda 5.1 with Python 3.6 in an Amazon Web Services Windows instance, I have PyCulib installed and CUDA 9.1.85_win10 installed but when ever I use an import relying on CUDA I get the following error:

...

ANSWER

Answered 2018-Apr-06 at 18:33

This issue has been resolved, I was using the wrong aws instance type for NVIDIA support.

Source https://stackoverflow.com/questions/49640452

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

Vulnerabilities

No vulnerabilities reported

Install pyculib

You can download it from GitHub.
You can use pyculib 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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