code: def get_params(self):
      params = []
      for model in self.model_list:
          params_dict = OrderedDict(model.named_parameters())
          _params = []
          for key, value in params_dict.items():
              _params += [{"params": value}]
          params.extend(_params)
      return params
  
imports: from collections import OrderedDict
  import os
  import numpy
  import torch
  from torch import nn
  from gluoncv.torch.utils.coot_utils import truncated_normal_fill
label_desc: Use image node_id 8 for calling the MultiModalTransformer obj's underlying member method code with example usage: obj.get_params() and returns: params