code: def test_autolog_registering_model():
      registered_model_name = "test_autolog_registered_model"
      mlflow.paddle.autolog(registered_model_name=registered_model_name)
  
      with mlflow.start_run():
          train_model()
  
          registered_model = MlflowClient().get_registered_model(
              registered_model_name
          )
          assert registered_model.name == registered_model_name
  
file_path: mlflow/tests/paddle/test_paddle_autolog.py
imports: import paddle
  import pytest
  import mlflow
  from mlflow import MlflowClient
label_desc: Use image node_id 6 for calling a global function with example usage: test_autolog_registering_model() without return types