code: def _init_text_embedding(self):
      module_config = self.config.text_embedding
      q_mod = BiLSTMTextEmbedding(
          module_config.num_hidden,
          module_config.emb_size,
          module_config.num_layers,
          module_config.dropout,
          module_config.bidirectional,
          module_config.rnn_type,
      )
      self.q_emb = q_mod
  
file_path: mmf/mmf/models/ban.py
imports: import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.embeddings import BiLSTMTextEmbedding
  from mmf.modules.layers import BCNet, BiAttention, FCNet, WeightNormClassifier
  from torch import nn
label_desc: Use image node_id 5 for calling the BAN obj's underlying member method code with example usage: obj._init_text_embedding() without return types