code: def encode(
      X: Union[tf.Tensor, np.ndarray], encoder: keras.Model, **kwargs
  ) -> tf.Tensor:
      """
      Encodes the input tensor.
  
      Parameters
      ----------
      X
          Input to be encoded.
      encoder
          Pretrained encoder network.
      **kwargs
          Other arguments. Not used.
  
      Returns
      -------
      Input encoding.
      """
      return encoder(X, training=False)
  
imports: import os
  import random
  from typing import Any, List, Dict, Callable, Union, Optional, TYPE_CHECKING
  import numpy
  import tensorflow
  import tensorflow.keras
  from alibi.explainers.backends.cfrl_base import CounterfactualRLDataset
  from alibi.models.tensorflow.actor_critic import Actor, Critic
label_desc: Use image node_id 7 for calling a global function with example usage: encode(X, encoder) and returns: encoder