code: def get_trunk_output(self, data):
      data = c_f.to_device(
          data, device=self.data_device, dtype=self.dtype
      )
      return self.models["trunk"](data)
  
imports: import torch
  import tqdm
  from ..utils import common_functions
  from ..utils import loss_tracker
  from ..utils.key_checker import KeyChecker, KeyCheckerDict
label_desc: Use image node_id 13 for calling the BaseTrainer obj's underlying member method code with example usage: obj.get_trunk_output(data) and returns: self