code: def call(
      self, x: tf.Tensor, init_state: List[tf.Tensor]
  ) -> Tuple[tf.Tensor, tf.Tensor, List[tf.Tensor]]:
      x, h, c = self.decoder_net(x, initial_state=init_state)
      dec_out = self.dense(x)
      return dec_out, x, [h, c]
  
imports: import numpy
  import tensorflow
  from tensorflow.keras.layers import Bidirectional, Concatenate, Dense, Flatten, Layer, LSTM
  from typing import Callable, List, Tuple
  from alibi_detect.utils.tensorflow.distance import relative_euclidean_distance
label_desc: Use image node_id 2 for calling the DecoderLSTM obj's underlying member method code with example usage: obj.call(x, init_state) and returns: dec_out,  x,  list