code: def call(
      self, x: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor, tf.Tensor]:
      enc = self.encoder(x)
      x_recon = self.decoder(enc)
      recon_features = self.recon_features(x, x_recon)
      z = tf.concat([enc, recon_features], -1)
      gamma = self.gmm_density(z)
      return x_recon, z, gamma
  
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 AEGMM obj's underlying member method code with example usage: obj.call(x) and returns: x_recon,  z,  gamma