code: def __init__(self, name, cfg, mode="train"):
      super(AttentionLSTM, self).__init__(name, cfg, mode)
      self.get_config()
  
file_path: PaddleHub/modules/video/classification/videotag_tsn_lstm/resource/models/attention_lstm/attention_lstm.py
imports: import logging
  import paddle.fluid
  from paddle.fluid import ParamAttr
  from ..model import ModelBase
  from .lstm_attention import LSTMAttentionModel
label_desc: Use image node_id 1 to create a new AttentionLSTM object from inherited base classes: ModelBase with example: obj = AttentionLSTM(name, cfg, mode)