class_docstr: LSTM Attention Model
class_docstr_tok: ["LSTM","Attention","Model"]
code: def __init__(
      self, bias_attr, embedding_size=512, lstm_size=1024, drop_rate=0.5
  ):
      self.lstm_size = lstm_size
      self.embedding_size = embedding_size
      self.drop_rate = drop_rate
  
imports: import paddle.fluid
  from paddle.fluid import ParamAttr
label_desc: Use image node_id 1 to create a new LSTMAttentionModel object from inherited base classes: object with example: obj = LSTMAttentionModel(bias_attr, embedding_size, lstm_size, drop_rate)