code: def encode(
      X: torch.Tensor,
      encoder: nn.Module,
      device: torch.device,
      **kwargs,
  ):
      """
      Encodes the input tensor.
  
      Parameters
      ----------
      X
          Input to be encoded.
      encoder
          Pretrained encoder network.
      device
          Device to send data to.
  
      Returns
      -------
          Input encoding.
      """
      encoder.eval()
      return encoder(X.float().to(device))
  
imports: import os
  import random
  from typing import List, Dict, Callable, Union, Optional, TYPE_CHECKING
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader, Dataset
  from alibi.explainers.backends.cfrl_base import CounterfactualRLDataset
  from alibi.models.pytorch.actor_critic import Actor, Critic
label_desc: Use image node_id 8 for calling a global function with example usage: encode(X, encoder, device) and returns: encoder