code: def _kl_normal_normal(dist1, dist2):
      return (
          dist2.log_scale
          - dist1.log_scale
          + 0.5
          * (dist1.variance + (dist1.loc - dist2.loc) ** 2)
          / dist2.variance
          - 0.5
      )
  
imports: import math
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import distribution
  from chainer.functions.math import exponential
  from chainer.functions.math import log_ndtr
  from chainer.functions.math import ndtr
  from chainer.functions.math import ndtri
  from chainer.utils import argument
  from chainer.utils import cache
  import chainerx
label_desc: Use image node_id 1 for calling a global function with example usage: _kl_normal_normal(dist1, dist2) and returns: unknown