code: def forward(self, _, state):
      try:
          return self.base_model(
              self.transform(self.input_image.sigmoid()).unsqueeze(0),
              state,
          )
      except TypeError:
          return self.base_model(
              self.transform(self.input_image.sigmoid()).unsqueeze(0)
          )
  
file_path: torchbearer/torchbearer/callbacks/imaging/inside_cnns.py
imports: import torch
  import torch.nn
  import torch.optim
  import torchbearer
  from torchbearer.callbacks.decorators import once_per_epoch
  from .None import imaging
label_desc: Use image node_id 2 for calling the _CAMWrapper obj's underlying member method code with example usage: obj.forward(_, state) and returns: self, self