transonic | : rocket : Make your Python code fly at transonic speeds | Machine Learning library

by fluiddyn Python Version: 0.7.0 License: BSD-3-Clause

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

kandi X-RAY | transonic Summary

transonic is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. transonic has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install transonic' or download it from GitHub, PyPI.

:rocket: Make your Python code fly at transonic speeds!

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Quality

Security

License

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Support

transonic has a low active ecosystem.

It has 87 star(s) with 0 fork(s). There are 7 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 6 open issues and 7 have been closed. On average issues are closed in 105 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of transonic is 0.7.0

Quality

transonic has no bugs reported.

Security

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

License

transonic is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

transonic releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Analyse an AOT file
Computes the ancestors of a module
Visit the node before it
Extract annotations from an object definition
Get a dictionary of the decorated functions
Create a Cython header from a function definition
Returns a list of all available backend types
Format a type to a backend type
Convert str_type to a tuple
Perform sart projection on an image
Boost an object
Timeit a statement
Convert from HSV to RGB
Extract signatures from comments
Convert from RGB to HSV
Creates code from fdef node
Get the AST for an object definition
Compile an extension
Print the available versions
Visit the node
Compute the ancestors of a module
Compute the Hessian of an image
Calculate the code dependent on jitted code
Entry point for the command line interface
Visit function definition
Helper function for adding operation
Compute the block length n
Multiply an image
Benchmark a function

Get all kandi verified functions for this library.

transonic Key Features

No Key Features are available at this moment for transonic.

transonic Examples and Code Snippets

No Code Snippets are available at this moment for transonic.

Community Discussions

Trending Discussions on transonic

Access files generated in the backend

QUESTION

Access files generated in the backend

Asked 2021-Oct-01 at 21:54

I'm a beginner. I started exploring Pythran and Transonic a few days back. I learned that Pythran generates a C++ file from the Python input file. I want to read those C++ generated files in the backend.

Do anyone of you have any idea about accessing files generated in the backend?

I'm implementing Pythran using Transonic's support.

Thanks!

...

ANSWER

Answered 2021-Oct-01 at 21:54

Have you tried running pythran with the --help option?

Source https://stackoverflow.com/questions/69313789

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

Vulnerabilities

No vulnerabilities reported

Install transonic

You can install using 'pip install transonic' or download it from GitHub, PyPI.
You can use transonic 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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