code: def aggregate_std(h):
      """standard deviation aggregation"""
      return torch.sqrt(aggregate_var(h) + 1e-30)
  
imports: import numpy
  import torch
  import torch.nn
label_desc: Use image node_id 5 for calling a global function with example usage: aggregate_std(h) and returns: torch