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  1. Sub-task SUBMARINE-909
    Add API to get the serve pod's status.
  2. Sub-task SUBMARINE-908
    Add handling of non-existing model in model serve.
  3. Sub-task SUBMARINE-907
    Remove hard-coded namespace from ServeRequest Spec
  4. Sub-task SUBMARINE-901
    Tensorflow distributed training example with model management API
  5. Sub-task SUBMARINE-899
    ServeModel API in submarine server
  6. Sub-task SUBMARINE-869
    Add distributive pytorch example
  7. Sub-task SUBMARINE-868
    Add save model to pysubmarine ModelsClient
  8. Sub-task SUBMARINE-867
    Image should be built locally in github-action.
  9. Sub-task SUBMARINE-866
    Add test mlflow mysql backend test
  10. Sub-task SUBMARINE-865
    Clean up deleted experiment in mlflow
  11. Sub-task SUBMARINE-864
    Support log_params and log_metrics
  12. Sub-task SUBMARINE-863
    A time lag between the frontend and backend of MLflow
  13. Sub-task SUBMARINE-861
    Trim the size of pysubmarine
  14. Sub-task SUBMARINE-860
    Replace hard-coded IP address with DNS in Mlflow and minio service
  15. Sub-task SUBMARINE-859
    Mlflow sqlite database should be replaced with mysql
  16. Sub-task SUBMARINE-858
    Implement log_param and log_metric for distributed scenarios
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