code: def __exit__(self, *args):
      # print(f"Total: {sum(self.flop_counts['Global'].values()) / 1e9} GFLOPS")
      # for mod in self.flop_counts.keys():
      #     print(f"Module: ", mod)
      #     for k, v in self.flop_counts[mod].items():
      #         print(f"{k}: {v / 1e9} GFLOPS")
      #     print()
      super().__exit__(*args)
  
imports: import os
  from collections import defaultdict
  from numbers import Number
  from typing import Any, List
  import torch
  from torch.utils._python_dispatch import TorchDispatchMode
  from torch.utils._pytree import tree_map
  from torchvision.models._api import Weights
label_desc: Use image node_id 7 for calling the FlopCounterMode obj's underlying member method code with example usage: obj.__exit__() without return types