code: def run(self):
      # run() starts the machine
      self.train.run("GPU machine 1")
  
      # stop() stops the machine
      self.train.stop()
  
      # run analysis ONLY when machine 1 stopped
      if self.train.status.STOPPED:
          self.analyze.run("CPU machine 2")
  
file_path: pytorch-lightning/docs/source-app/levels/intermediate/level_2_scripts/hello_app_auto_scale.py
imports: from lightning.app import LightningWork, LightningFlow, LightningApp, CloudCompute
label_desc: Use image node_id 2 for calling the WorkflowOrchestrator obj's underlying member method code with example usage: obj.run() without return types