code: def optimize(self, sensor_graph, model):
          
  
          passes = self._order_pases(self._known_passes.keys())
  
          for opt_name in passes:
              rerun = True
              pass_instance = self._known_passes[opt_name][0]()
  
              while rerun:
                  rerun = pass_instance.run(sensor_graph, model=model)
docs: Optimize a sensor graph by running optimization passes.
  
          The passes are run one at a time and modify the sensor graph
          for future passes.
  
          Args:
              sensor_graph (SensorGraph): The graph to be optimized
              model (DeviceModel): The device that we are optimizing
                  for, that OptimizationPass objects are free to use
                  to guide their optimizations.