code: def validation_epoch_end(self, outputs):
      avg_loss = (
          torch.stack([x["val_loss"] for x in outputs]).mean()
          if len(outputs) > 0
          else float("inf")
      )
      self.log("avg_val_loss", avg_loss)
  
imports: import inspect
  import pytorch_lightning
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from pytorch_lightning.utilities import _module_available
  from urllib.error import URLError
  import time
label_desc: Use image node_id 10 for calling the LitDeepVisionModel obj's underlying member method code with example usage: obj.validation_epoch_end(outputs) without return types