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Integration and Test (INT)

Primary Goals: TODO

H Feature Scope / Achievements:

  • TODO

PTL: James Li

H release highlights/accomplishments (December 14, 2022):

TODO

H release source code, container images and deployment instructions

gerrit (look for the latest changes for H release from the following repositories):

https://gerrit.o-ran-sc.org/r/it/dep

https://gerrit.o-ran-sc.org/r/it/dev

https://gerrit.o-ran-sc.org/r/it/test



H release highlights/accomplishments ( ):

  • TODO

H release source code, container images and deployment instructions

Source code: Gerrit links to the repositories are mentioned below

Container images are described here: 

Installation Instructions: 

https://docs.o-ran-sc.org/projects/o-ran-sc-aiml-fw-aimlfw-dep/en/latest/installation-guide.html

Installation demos:

Installation of AIMLFW: https://wiki.o-ran-sc.org/download/attachments/63143945/oran%20sc%20install_low_res_with_audio_small.mp4?api=v2

AIMLFW Training flow: https://wiki.o-ran-sc.org/download/attachments/63143945/AIMLFW_demo_for_training.mp4?api=v2

Assist and ML xApp demo: https://wiki.o-ran-sc.org/download/attachments/63143945/qp-aimlfw-demo.mp4?api=v2

Code coverage: 

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-tps-kubeflow-adapter

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-feature-store

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-model-storage

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-data-extraction

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-awmf-tm

Wiki: https://wiki.o-ran-sc.org/display/AIMLFEWAIMLFW-6

JIRA Status

AIML Framework (AIMLFW)

Primary Goals:

  • TODOIntegrated installation (still discussing)

G Feature Scope / Achievements:

  • TODO

PTL: hoejoo.lee

(still discussing)

  • DME Integration with AIML FW
    • Discuss about the R1 interface, DME related demo in Non-RT RIC project
    • Need to install DME available in g-release and check how it works.

    • Integration plan based on the existing implementation.

  • Training pipeline Enhancement

    • Add sample pipelines by default, reducing user effort

    • Simplify the process of adding new training pipeline (reducing the amount of code written by user)

    • Implementation plan

  • Integrated installation

    • Integrate with SMO Influx DB 
    • Plan to install as part of SMO first

  • Kserve adapter

    • Implementation plan for deploying models in Near-RT RIC/Non-RT RIC

    • Need to define how to integrate DMS Cli and Management Func. 

Sprint Demo

PTL: hoejoo.lee

JIRA

key

H release highlights/accomplishments (<Date> ):

  • TODO

H release source code, container images and deployment instructions

Gerrit / Code:

aiml-fw/awmf/tm:  Training Manager : Training job and model management

aiml-fw/athp/tps/kubeflow-adapter: Adapter for Kubeflow

aiml-fw/athp/sdk/model-storage: Sdk for accessing Model storage

aiml-fw/athp/sdk/feature-store: Sdk for accessing Feature store

aiml-fw/athp/data-extraction: Retrieving features for training from Data lake

aiml-fw/aimlfw-dep: Deployment scripts aiml workflow 

portal/aiml-dashboard: GUI for AIML Workflow

ric-app/qp-aimlfw: Sample ML Assist xApp for QoE prediction

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Container images are described here: 

  • TODO

Installation Instructions: 

  • TODO

Code coverage: 

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-tps-kubeflow-adapter

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-feature-store

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-model-storage

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-data-extraction

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-awmf-tm