code: def __init__(self, verbose: bool = True) -> None:
      super().__init__(verbose=verbose)
  
imports: from typing import Any
  import torch
  import time
  from pytorch_lightning.callbacks import Callback
  from pytorch_lightning.loops.dataloader.evaluation_loop import EvaluationLoop
  from bigdl.nano.utils.common import invalidInputError
  from collections import ChainMap
  from torchmetrics import Metric
label_desc: Use image node_id 1 to create a new CustomEvaluationLoop object from inherited base classes: EvaluationLoop with example: obj = CustomEvaluationLoop(verbose)