code: def run(self):
      # run training once
      self.train.run("GPU machine 1")
  
      # run analysis once, then every hour again...
      if self.schedule("hourly"):
          self.analyze.run("CPU machine 2")
  
file_path: pytorch-lightning/docs/source-app/levels/intermediate/level_2_scripts/hello_app_scheduler.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