code: def __init__(self, input_size, hidden_size, output_size):
      super(BidirectionalLSTM, self).__init__()
      self.rnn = nn.LSTM(
          input_size, hidden_size, bidirectional=True, batch_first=True
      )
      self.linear = nn.Linear(hidden_size * 2, output_size)
  
imports: import torch.nn
label_desc: Use image node_id 1 to create a new BidirectionalLSTM object from inherited base classes: nn with example: obj = BidirectionalLSTM(input_size, hidden_size, output_size)