code: def compute_embeddings(self, data):
      trunk_output = self.get_trunk_output(data)
      embeddings = self.get_final_embeddings(trunk_output)
      return embeddings
  
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 11 for calling the BaseTrainer obj's underlying member method code with example usage: obj.compute_embeddings(data) and returns: embeddings