OpenFL | OpenFL provides a number of distinct features

by Formlabs Python Version: Current License: Apache-2.0

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

kandi X-RAY | OpenFL Summary

OpenFL is a Python library typically used in Arduino applications. OpenFL 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.

OpenFL provides a number of distinct features for doing interesting non-standard things with a Form 1/1+:.

Support

Quality

Security

License

Reuse

Support

OpenFL has a low active ecosystem.

It has 68 star(s) with 27 fork(s). There are 26 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 0 have been closed. On average issues are closed in 698 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of OpenFL is current.

Quality

OpenFL has 0 bugs and 100 code smells.

Security

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

OpenFL code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

OpenFL 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

OpenFL 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.

It has 1678 lines of code, 161 functions and 16 files.

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

Top functions reviewed by kandi - BETA

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

Write a single block
Encode the given payload
Wait for a single packet
Send a command to the server
Convert STYL to FLP packets
Convert from mm to position
Convert image to flp
Write the text to a file handle
Convert from mm togal
Calculate a polynomial
Render the image
Renders the Voronoi diagram
Stop printing
Set the laser position
Set the amplitude of the light
List all the available blocks
Write the content to a file
Delete a block
Returns the size of the block
Insert a pause before a given layer
Pause printing
Prints a message to stderr
Return machine information
Set the amplitude of the stream
Wait until state is available
Move the z - step
Start printing

Get all kandi verified functions for this library.

OpenFL Key Features

No Key Features are available at this moment for OpenFL.

OpenFL Examples and Code Snippets

No Code Snippets are available at this moment for OpenFL.

Community Discussions

Trending Discussions on OpenFL

MNIST Shard Descriptor: IndexError: list index out of range

Intel OpenFL - RuntimeError: mat1 and mat2 shapes cannot be multiplied (128x512 and 2048x4096)

QUESTION

MNIST Shard Descriptor: IndexError: list index out of range

Asked 2022-Mar-01 at 08:01

I am working on Federated Learning experiments using Intel OpenFL. I want to distribute my dataset (MNIST) using different non-iidness scenarios. I am following their official documentation: https://openfl.readthedocs.io/en/latest/source/utilities/splitters_data.html

This is my original working code:

...

ANSWER

Answered 2022-Mar-01 at 08:01

The only solution I found until now is to reduce the rank of each envoy: train_idx = train_splitter.split(self.y, self.worldsize)[self.rank-1]

Source https://stackoverflow.com/questions/71209010

QUESTION

Intel OpenFL - RuntimeError: mat1 and mat2 shapes cannot be multiplied (128x512 and 2048x4096)

Asked 2022-Feb-23 at 15:36

I am trying to run my notebook (that works fine on google colab or other similar platforms) on Intel OpenFL, the new framework for FL of Intel. I am using MNIST with this transformation:

...

ANSWER

Answered 2022-Feb-23 at 15:36

It was my problem: i was using 28x28 images, while this network works with 32x32 images

Source https://stackoverflow.com/questions/69841983

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

Vulnerabilities

No vulnerabilities reported

Install OpenFL

You can download it from GitHub.
You can use OpenFL 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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