code: def _get_lstm_feature(self, input):
      # out = self.embed(input)
      # packed = pack_padded_sequence(out, lengths.cpu(), batch_first=True)
      # out, _ = self.lstm(packed)
      # out, _ = pad_packed_sequence(out, batch_first=True)
      # return self.linear(out)
      out = self.embed(input)
      out, _ = self.lstm(out)
      return self.linear(out)
  
file_path: DeepKE/src/deepke/name_entity_re/standard/models/BiLSTM_CRF.py
imports: import torch.nn
  from torchcrf import CRF
label_desc: Use image node_id 2 for calling the BiLSTM_CRF obj's underlying member method code with example usage: obj._get_lstm_feature(input) and returns: self