code: def test_autolog_log_models_configuration(log_models):
      mlflow.paddle.autolog(log_models=log_models)
  
      with mlflow.start_run() as run:
          train_model()
  
      artifacts = MlflowClient().list_artifacts(run.info.run_id)
      assert any(x.path == "model" for x in artifacts) == log_models
  
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 5 for calling a global function with example usage: test_autolog_log_models_configuration(log_models) without return types