code: def call(self, x: tf.Tensor) -> Tuple[tf.Tensor, List[tf.Tensor]]:
      enc_out, fwd_h, fwd_c, bwd_h, bwd_c = self.encoder_net(x)
      h = Concatenate()([fwd_h, bwd_h])
      c = Concatenate()([fwd_c, bwd_c])
      return enc_out, [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 EncoderLSTM obj's underlying member method code with example usage: obj.call(x) and returns: enc_out,  list