Summary

This document contains details of the release v2022.09 for total-solutions.

Overview

This release adds three main features:

• ThreadX: Total solutions now support Azure RTOS ThreadX. To compile an application with it use the flag --rtos THREADX on the command line.
• Azure Certification: The total solution applications can be Azure IoT Cloud certified when DPS provisioning is used.
• Speech: A new total solution has been added: Speech. It offers the same cloud capability as the Keyword application (AWS and Azure) but runs a different inference model: tiny ASR. This ML model recognise stream of words which are then forwarded to the cloud.

Breaking changes

• In ats.sh script, keyword should be used instead of kws to build and run the keyword application.

Known issues

• mlia does not install the CS310 backend as it is broken with the latest AVH. CS300 backend is still installed

Changelog

• doc: Improve README
• app: Add speech examples
• keyword: Remove useless defines.
• ml: Use latest version of ml kit
• tf-m: Update partition layout for larger models
• lib: Add speex to dependencies
• keyword: Allow override of audio file location
• keyword: remove audio buffer NS/S alias
• apps: remove warnings
• ml: cleanup build system integration
• ota: move library from keyword into lib
• bsp: rework config and move aws
• examples: move examples into their folder
• ci: Set environment variables for AMI pipeline
• Updated diagram with speech application and Threadx components
• Add provisioning to the azure demo
• rtos: Add ThreadX as an RTOS option
• Updated architecture diagram
• Update ML eval kit to version 22.05
• mlia: Roll back mlia to 0.3.0, to workaround backend install failure
• sdk: Update SDK and toolchain repos to the latest
• ci: Create pipeline for AVH AMI testing
• ci: Move AVH Docker build outside keyword
• quality: Remove project specific issue and MR templates
• tf-m: Switch to IPC model which is the default
• mlia: Update README for MLIA
• mlia: Save output into file
• clang-format: Sort includes
• pre-commit: Ignore lib folder
• CI: Avoid duplicate pipelines.
• Azure: Fix test
• CI: Add AWS cleanup script.
• CI: Factorization of jobs.
• AWS: Rework cleanup to resources.
• CI: Use UUID to generate tests ID.
• quality: Add default issue and MR templates
• FreeRTOS: Enable explicitly FPU support
• KWS: Raise ML task priority
• Ethos: Re-enable RTOS integration

Testing

Automated CI tests

• Static checks
  • File formatting checks
  • Clang format checks
  • gitlint
• Build & Test
  • blinky
  • speech
  • keyword
• Configurations
  • Targets:
    • Corstone-300
    • Corstone-310
  • RTOS:
    • FreeRTOS
    • CMSIS RTOS2
    • ThreadX
  • Cloud clients:
    • Aws IoT cloud
    • Azure Iot cloud
  • AMI version: 1.3.0