code: def _build_mmt(self):
      self.mmt = MMT(self.mmt_config)
  
      # allow specifying a different/scaled lr for multimodal transformer
      self.finetune_modules.append(
          {"module": self.mmt, "lr_scale": self.config.lr_scale_mmt}
      )
  
imports: import functools
  import logging
  import math
  import torch
  import torch.nn.functional
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.layers import ClassifierLayer
  from mmf.utils.build import build_image_encoder
  from omegaconf import OmegaConf
  from torch import nn
label_desc: Use image node_id 8 for calling the M4C obj's underlying member method code with example usage: obj._build_mmt() without return types