code: def run(self):
      # make fake checkpoints
      checkpoint_1 = torch.tensor([0, 1, 2, 3, 4])
      checkpoint_2 = torch.tensor([0, 1, 2, 3, 4])
      os.makedirs(self.checkpoints_path, exist_ok=True)
      checkpoint_path = str(
          self.checkpoints_path / "checkpoint_{}.ckpt"
      )
      torch.save(checkpoint_1, str(checkpoint_path).format("1"))
      torch.save(checkpoint_2, str(checkpoint_path).format("2"))
  
file_path: pytorch-lightning/docs/source-app/workflows/share_files_between_components/app.py
imports: import os
  import torch
  from lightning.app import LightningWork, LightningFlow, LightningApp
  from lightning.app.storage.path import Path
label_desc: Use image node_id 2 for calling the ModelTraining obj's underlying member method code with example usage: obj.run() without return types