code: def call(self, x: tf.Tensor) -> tf.Tensor:
      x = self.partial_model(x)
      x = Flatten()(x)
      if self.hidden_dim is not None:
          x = self.dense_layer(x)
      return self.output_layer(x)
  
imports: import logging
  from typing import Callable, Dict, List, Tuple, Union, cast
  import numpy
  import tensorflow
  from alibi_detect.base import BaseDetector, FitMixin, ThresholdMixin, adversarial_correction_dict, adversarial_prediction_dict
  from alibi_detect.models.tensorflow.autoencoder import AE
  from alibi_detect.models.tensorflow.losses import loss_adv_ae
  from alibi_detect.models.tensorflow.trainer import trainer
  from alibi_detect.utils.tensorflow.prediction import predict_batch
  from alibi_detect.utils._types import OptimizerTF
  from tensorflow.keras.layers import Dense, Flatten
  from tensorflow.keras.losses import kld
  from tensorflow.keras.models import Model
label_desc: Use image node_id 2 for calling the DenseHidden obj's underlying member method code with example usage: obj.call(x) and returns: self