Version v0.2.0

This release adds new features:

  • Support Fast CDR v2.2.0.

  • Implement asynchronous request model in ModelManagerReceiver.

  • Add fastdds.application.id property to participants and endpoints.

  • Add fastdds.application.metadata property to participants and endpoints.

  • Add MainNode costructor with domain parameter in Python bindings.

  • Add Python bindings for Agent Nodes.

  • Rename agent_tool package to amlip_agent.

This includes the following Bugfixes:

  • Update AsyncComputingNode and AsyncInferenceNode to only stop if the current state is running and only run if the current state is stopped.

  • ASAN (Address Sanitizer) fixes.

  • Fix allowlist namespacing in AgentNode.

  • Call change status in AsyncComputingNode.

This release includes the following CI improvements:

  • Migrate CI actions to use eProsima-CI.

  • Include branch environment variables in CI configuration.

This release add new Documentation features:

  • Add instructions to build the Docker image.

  • Add Agent Tool section.

  • Add Enabling Technologies and Internal Protocols sections.

This release includes the following Dependencies Update:

Repository

Old Version

New Version

Foonathan Memory Vendor

eProsima/foonathan_memory_vendor

v1.3.1

v1.3.1

Fast CDR

eProsima/Fast-CDR

v1.1.0

v2.2.1

Fast DDS

eProsima/Fast-DDS

v2.11.0

v2.14.0

Dev Utils

eProsima/dev-utils

v0.4.0

v0.6.0

DDS Pipe

eProsima/DDS-Pipe

v0.2.0

v0.4.0

DDS Router

eProsima/DDS-Router

v2.0.0

v2.2.0

Previous Versions

Version v0.1.0

This is the first release of eProsima AML-IP (Algebraic Machine Learning - Integrating Platform).

This release includes the following User Interface features:

  • C++ API

  • Python API

  • Add implementation of DDS entities.

  • Add implementation of Multiservice protocol.

  • Add implementation of Asynchronous Multiservice protocol.

  • New internal package amlip_demo_nodes to include the demos packages.

  • Dockerfile for creating a docker image with AML-IP.

  • Add Custom RPC communication over DDS.

This release supports the following Deployment Scenarios:

This release includes the following new AML-IP Nodes:

  • Status: node that listens to other nodes status.

  • Main: node that sends training data and collects the solution to that data.

  • Computing: node that waits for training data and retrieves a solution.

  • Edge: node that sends data and waits for the inferred solution.

  • Inference: node that waits for data and retrieves an inference.

  • Agent: node in charge of the communication with the network.

  • Model Manager Receiver: node that receives statistical data from models and sends requests to those models.

  • Model Manager Sender: node that sends statistical data from models, receives requests and sends replies to those requests.

This release includes the following new AML-IP Data Types:

  • Status: status messages sent by each node with its id, type and current state.

  • Job: messages that represent training data.

  • Job Solution: messages that represent the solution for a given set of training data.

  • Inference: messages that represent a partial data-set.

  • Inference Solution: messages that represent the inference of a data-set.

  • Model Statistics: messages that represent statistical data from models.

  • Model: messages that represent a problem model request.

  • Model Solution: messages that represent a problem reply with the requested model.

This release includes the following Demos:

This release includes the following Documentation features:

  • This same Documentation

  • API Code Documentation

This release includes the following Continuous Integration features:

  • Continuous Integration deployment in GitHub Actions.

  • Compile with -Wall flag Clang job.

  • Add Address Sanitizer check to all tests.

  • Add Python Liner test to the Python API.

  • Disable Data Sharing from test.