opcheck | A Unified API for defining valid Tensor operations

by hrbigelow Python Version: Current License: No License

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

kandi X-RAY | opcheck Summary

opcheck is a Python library. opcheck has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A Unified API for defining valid Tensor operations

Support

Quality

Security

License

Reuse

Support

opcheck has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

opcheck has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of opcheck is current.

Quality

opcheck has no bugs reported.

Security

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

License

opcheck 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

opcheck 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 are not available. Examples and code snippets are available.

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opcheck Key Features

No Key Features are available at this moment for opcheck.

opcheck Examples and Code Snippets

No Code Snippets are available at this moment for opcheck.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install opcheck

You can download it from GitHub.
You can use opcheck 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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