code: def _kl_log_normal_log_normal(dist1, dist2):
      return (
          0.5
          * ((dist1.mu - dist2.mu) ** 2 + dist1.sigma**2)
          / dist2.sigma**2
          - 0.5
          + dist2._log_sigma
          - dist1._log_sigma
      )
  
imports: import math
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import distribution
  from chainer.functions.math import exponential
  from chainer.utils import cache
label_desc: Use image node_id 1 for calling a global function with example usage: _kl_log_normal_log_normal(dist1, dist2) and returns: unknown