code: def call(self, x: tf.Tensor) -> tf.Tensor:
      z_mean, z_log_var, z = self.encoder(x)
      x_recon = self.decoder(z)
      # add KL divergence loss term
      kl_loss = -0.5 * tf.reduce_mean(
          z_log_var - tf.square(z_mean) - tf.exp(z_log_var) + 1
      )
      self.add_loss(self.beta * kl_loss)
      return x_recon
  
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 VAE obj's underlying member method code with example usage: obj.call(x) and returns: x_recon