code: def kl_divergence(m_p, logs_p, m_q, logs_q):
      """KL(P||Q)"""
      kl = (logs_q - logs_p) - 0.5
      kl += (
          0.5
          * (torch.exp(2.0 * logs_p) + ((m_p - m_q) ** 2))
          * torch.exp(-2.0 * logs_q)
      )
      return kl
  
imports: import math
  import numpy
  import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 5 for calling a global function with example usage: kl_divergence(m_p, logs_p, m_q, logs_q) and returns: kl