code: def get_optimizer_parameters(self, config):
      params = [
          {"params": self.word_embedding.parameters()},
          {"params": self.image_feature_embeddings_list.parameters()},
          {"params": self.classifier.parameters()},
          {
              "params": self.image_feature_encoders.parameters(),
              "lr": (config.optimizer.params.lr * 0.1),
          },
      ]
      return params
  
file_path: mmf/mmf/models/butd.py
imports: import torch
  from mmf.common.registry import registry
  from mmf.models.pythia import Pythia
  from mmf.modules.layers import ClassifierLayer
label_desc: Use image node_id 6 for calling the BUTD obj's underlying member method code with example usage: obj.get_optimizer_parameters(config) and returns: params