code: def compute_pred_entropy_clean(logits):
      return float(compute_pred_entropy(logits).item())
  
imports: import copy
  import math
  import os
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import Dataset, DataLoader
label_desc: Use image node_id 5 for calling a global function with example usage: compute_pred_entropy_clean(logits) and returns: float