Azion the best solution of Edge Computing in the world.

Last update: Jul 16, 2022

Related tags

Overview

Azion Edge Function docker action

Create or update an Edge Functions on Azion Edge Nodes.

The domain name is the key for decision to a create or update an Edge Function, then if the domain name is already on use by an Edge Function, the function will be updated.

API Inputs

`azion-auth`

Required Authentication method

Create your free account on Azion site https://azion.com to use this action.

For authentication you can use Basic or Token methods.

Details how to create your Token or generate a base64 for Basic method, please visit https://api.azion.com/#58ba6991-2fe6-415c-9f17-a44dc0bc8cd4. Token authorization ensure more secure method than Basic, tokens are valid up to 24 hours, generate other token if it's expired.

For Basic method use in this input “Authorization: Basic ”
- For example: “Authorization: Basic dXNlckdBabn1hiW46cGFzc3dvcmQK”
For Token method use in this input "Authorization: TOKEN[YOUR TOKEN HERE]"
- For example: "Authorization: TOKEN[455SAFafa#$sfdsf789aswas23casf3=]

`config`

Required Configuration file with Azion Edge Functions details

In the action.yaml file, you have the configuration example please fill with your own data:

name: name of your Edge Function
path: path and filename with the source code using JavaScript language.
domain: your domain, maybe a CNAME record
args: parameters for use in the edge function at runtime, the argument name and value of each argument used on the JavaScript code.
- arg1 "first argument name" : "value of first argument"
- arg2 "second argument name" : "value of second argument"
- arg..N "N argument" : "value of N argument"
path_uri: the URI path of your edge function
active: boolean that control if your Edge Function is active or not, domain values (true|false). Your function is only accessible when it is active true.

Outputs

`domain`

URI of the edge function deployed.

You could use this URI, ir necessary you can create a CNAME at your DNS. For local use and testing, you can change your /etc/hosts for your domain.

Example usage on Github Action

File available

uses: actions/[email protected]
with:
  azion-auth: "Authorization: TOKEN[455SAFafa#$sfdsf789aswas23casf3=]
  config: 'function1.yaml'

Example of configuration file

Edit the action.yaml file, containing the details of your edge functions at Azion.

Don't change the edge_functions name, and name parameters but instead just complete with desired values. The exception is for args, when you need to change the arg names and arg values.

edge_functions:
  -
    path: "example/src/messages.js"
    domain: "www.yourdomain.com"
    name: "Function Hello World Azion"
    args: 
      arg1: "value1"
      arg2: "value2"
    path_uri: "/api/messages/"
    active: "true"

More details on Azion site

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

GraphMask This repository contains an implementation of GraphMask, the interpretability technique for graph neural networks presented in our ICLR 2021

29 Sep 2, 2022

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

python_graphs This package is for computing graph representations of Python programs for machine learning applications. It includes the following modu

258 Dec 29, 2022

Blender scripts for computing geodesic distance

GeoDoodle Geodesic distance computation for Blender meshes Table of Contents Overivew Usage Implementation Overview This addon provides an operator fo

20 Jun 8, 2022

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Note: This is an alpha (preview) version which is still under refining. nn-Meter is a novel and efficient system to accurately predict the inference l

244 Jan 6, 2023

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Framework overview This library allows to quickly implement different architectures based on Reservoir Computing (the family of approaches popularized

249 Dec 21, 2022

Releases(v0.2)

v0.2(Apr 30, 2022)

Now we can see in github actions output of multidomains
Source code(tar.gz)
Source code(zip)
v0.1(Apr 30, 2022)

Lets try to use the best CDN of the world (Azion)
Source code(tar.gz)
Source code(zip)

Azion the best solution of Edge Computing in the world.

Related tags

Overview

Azion Edge Function docker action

API Inputs

azion-auth

config

Outputs

domain

Example usage on Github Action

Example of configuration file

You might also like...

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Blender scripts for computing geodesic distance

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

Material related to the Principles of Cloud Computing course.

🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key

Releases(v0.2)

v0.2(Apr 30, 2022)

v0.1(Apr 30, 2022)

Owner

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

The Unsupervised Reinforcement Learning Benchmark (URLB)

Official implementation of paper Gradient Matching for Domain Generalization

A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

Reference implementation for Structured Prediction with Deep Value Networks

Normalization Matters in Weakly Supervised Object Localization (ICCV 2021)

Tools for investing in Python

Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Cluttered MNIST Dataset

Machine Translation Implement By Bi-GRU And Transformer

Implementation of "Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis"

[NeurIPS'21] Projected GANs Converge Faster

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(2021) paper

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

EXplainable Artificial Intelligence (XAI)

Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding

Utility tools for the "Divide and Remaster" dataset, introduced as part of the Cocktail Fork problem paper

`azion-auth`

`config`

`domain`