ngraph-python | Original Python version of Intel Nervana Graph

by NervanaSystems Python Version: v0.4.0 License: Apache-2.0

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

kandi X-RAY | ngraph-python Summary

ngraph-python is a Python library. ngraph-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

DISCONTINUATION OF PROJECT. This project will no longer be maintained by Intel. Intel will not provide or guarantee development of or support for this project, including but not limited to, maintenance, bug fixes, new releases or updates. Patches to this project are no longer accepted by Intel. If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the community, please create your own fork of the project.

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Quality

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Support

ngraph-python has a low active ecosystem.

It has 217 star(s) with 40 fork(s). There are 53 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 4 have been closed. On average issues are closed in 6 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ngraph-python is v0.4.0

Quality

ngraph-python has 0 bugs and 0 code smells.

Security

ngraph-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ngraph-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ngraph-python is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

ngraph-python releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

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

Returns the kernel for the given axes .
get the filter kernel
Calculate the distance between two bprop .
Construct a copy_transpose_transpose_transpose kernel .
Calculate the Bprop overlap average .
Calculate the maximum overlap threshold .
Calculate the maximum overlap between bprop .
Get Bprop ln .
Build a maxas kernel .
Get maximum value of bprop .

Get all kandi verified functions for this library.

ngraph-python Key Features

No Key Features are available at this moment for ngraph-python.

ngraph-python Examples and Code Snippets

No Code Snippets are available at this moment for ngraph-python.

Community Discussions

No Community Discussions are available at this moment for ngraph-python.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ngraph-python

You can download it from GitHub.
You can use ngraph-python 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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