docstr: Run "dynamic_model" twice with different argument to simulate
  python caching.
code: def _predict(self, item):
      """Run "dynamic_model" twice with different argument to simulate
      python caching.
  
      """
      time.sleep(0.3)
      item = self.dynamic_model(item, call_x=True)
      item = self.dynamic_model(item, call_x=False)
      return item
  
imports: import math
  import time
  from typing import Any, Dict
  import pytest
  from modelkit.core import ModelLibrary
  from modelkit.core.model import Model
  from modelkit.core.profilers.simple import SimpleProfiler
label_desc: Use image node_id 2 for calling the DynamicPipeline obj's underlying member method code with example usage: obj._predict(item) and returns: item