code: def call(self, inputs):
      outputs, state = tf.nn.dynamic_rnn(
          self.lstm_cell,
          inputs,
          initial_state=self.initial_state,
          dtype=tf.float32,
      )
      return outputs, final_state
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import tensorflow
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling the LSTMLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: outputs,  final_state