code: def decode(
      Z: torch.Tensor,
      decoder: nn.Module,
      device: torch.device,
      **kwargs,
  ):
      """
      Decodes an embedding tensor.
  
      Parameters
      ----------
      Z
          Embedding tensor to be decoded.
      decoder
          Pretrained decoder network.
      device
          Device to sent data to.
  
      Returns
      -------
      Embedding tensor decoding.
      """
      decoder.eval()
      return decoder(Z.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 9 for calling a global function with example usage: decode(Z, decoder, device) and returns: decoder