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This document serves as a place for brainstorming ideas for Model & Dataset CRD design. The general goal is to design reusable CRDs that can be shared by various higher level machine learning tasks and frameworks.
Goals
- What does do the CRDs CRD controllers do? Define the exact responsibilities of model & dataset CRDs and controllers.
- How will the higher level tasks, i.e. federated learning, model serving etc, utilize the services provided by model & dataset CRDs.
Non-goals
The truly format of the AI
dataset
, such asimagenet
,coco
ortf-record
etc.The truly format of the AI
model
, such asckpt
,saved_model
of tensorflow etc.The truly operations of the AI
dataset
, such asshuffle
,crop
etc.The truly operations of the AI
model
, such astrain
,inference
etc.
Use Cases
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- Cloud edge communication mechanism for both controllers and specific task workers.
Use Cases
Model serving
Upon creating a model CRD object, model controller
...