code: def call_checkpoint_bottleneck(self, inputs: List[Tensor]) -> Tensor:
      def closure(*inp):
          return self.bn_function(inp)
  
      return cp.checkpoint(closure, *inputs)
  
imports: import re
  from typing import Any, List, Tuple
  from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from torch import Tensor
label_desc: Use image node_id 4 for calling the _DenseLayer obj's underlying member method code with example usage: obj.call_checkpoint_bottleneck(inputs) and returns: cp, self