code: def consistency_loss(Z_cf_pred: torch.Tensor, Z_cf_tgt: torch.Tensor):
      """
      Default 0 consistency loss.
  
      Parameters
      ----------
      Z_cf_pred
          Counterfactual embedding prediction.
      Z_cf_tgt
          Counterfactual embedding target.
  
      Returns
      -------
      0 consistency loss.
      """
      return {"consistency_loss": 0}
  
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 6 for calling a global function with example usage: consistency_loss(Z_cf_pred, Z_cf_tgt) and returns: dict