code: def __init__(self, args, enc_type="title"):
      super(BiLSTM, self).__init__()
      self.enc_type = enc_type
      self.drop = nn.Dropout(args.emb_drop)
      self.bilstm = nn.LSTM(
          args.nhid,
          args.nhid // 2,
          bidirectional=True,
          num_layers=args.enc_lstm_layers,
          batch_first=True,
      )
  
imports: import math
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
  from utlis import *
  import dgl.function
  from dgl.nn.functional import edge_softmax
label_desc: Use image node_id 1 to create a new BiLSTM object from inherited base classes: nn with example: obj = BiLSTM(args, enc_type)