code: def _kl_pareto_pareto(dist1, dist2):
      kl = (
          dist2.alpha * (dist1._log_scale - dist2._log_scale)
          + dist1._log_alpha
          - dist2._log_alpha
          + (dist2.alpha - dist1.alpha) / dist1.alpha
      )
      xp = kl.xp
      return where.where(
          dist1.scale.data >= dist2.scale.data,
          kl,
          xp.array(xp.inf, kl.dtype),
      )
  
imports: import chainer
  from chainer.backends import cuda
  from chainer import distribution
  from chainer.functions.array import where
  from chainer.functions.math import exponential
  from chainer import utils
  from chainer.utils import cache
label_desc: Use image node_id 1 for calling a global function with example usage: _kl_pareto_pareto(dist1, dist2) and returns: where