code: def patched_fit(original, self, *args, **kwargs):
      run_id = mlflow.active_run().info.run_id
      tracking_uri = mlflow.get_tracking_uri()
      client = MlflowAutologgingQueueingClient(tracking_uri)
      metrics_logger = BatchMetricsLogger(run_id, tracking_uri)
  
      log_models = get_autologging_config(
          mlflow.paddle.FLAVOR_NAME, "log_models", True
      )
      log_every_n_epoch = get_autologging_config(
          mlflow.paddle.FLAVOR_NAME, "log_every_n_epoch", 1
      )
  
      early_stop_callback = None
      mlflow_callback = __MLflowPaddleCallback(
          client, metrics_logger, run_id, log_models, log_every_n_epoch
      )
      if "callbacks" in kwargs:
          callbacks = kwargs["callbacks"]
          for callback in callbacks:
              if isinstance(callback, paddle.callbacks.EarlyStopping):
                  early_stop_callback = callback
                  _log_early_stop_params(
                      early_stop_callback, client, run_id
                  )
                  break
          kwargs["callbacks"].append(mlflow_callback)
      else:
          kwargs["callbacks"] = [mlflow_callback]
      client.flush(synchronous=False)
  
      result = original(self, *args, **kwargs)
  
      if early_stop_callback is not None:
          _log_early_stop_metrics(early_stop_callback, client, run_id)
  
      mlflow.log_text(str(self.summary()), "model_summary.txt")
  
      if log_models:
          registered_model_name = get_autologging_config(
              mlflow.paddle.FLAVOR_NAME, "registered_model_name", None
          )
          mlflow.paddle.log_model(
              pd_model=self,
              artifact_path="model",
              registered_model_name=registered_model_name,
          )
  
      client.flush(synchronous=True)
  
      return result
  
file_path: mlflow/mlflow/paddle/_paddle_autolog.py
imports: import paddle
  import mlflow
  from mlflow.utils.autologging_utils import BatchMetricsLogger, ExceptionSafeAbstractClass, MlflowAutologgingQueueingClient, get_autologging_config
label_desc: Use image node_id 3 for calling a global function with example usage: patched_fit(original, ) and returns: result