code: def _kl_one_hot_categorical_one_hot_categorical(dist1, dist2):
      return sum_mod.sum(dist1.p * (dist1.log_p - dist2.log_p), axis=-1)
  
imports: import chainer
  from chainer.backends import cuda
  from chainer import distribution
  from chainer.functions.math import exponential
  import chainer.functions.math.sum
  from chainer.utils import cache
label_desc: Use image node_id 3 for calling a global function with example usage: _kl_one_hot_categorical_one_hot_categorical(dist1, dist2) and returns: sum_mod