code: def _kl_uniform_uniform(dist1, dist2):
      xp = backend.get_array_module(dist1.low)
  
      is_inf = xp.logical_or(
          dist1.high.data > dist2.high.data,
          dist1.low.data < dist2.low.data,
      )
      kl = -exponential.log(dist1.high - dist1.low) + exponential.log(
          dist2.high - dist2.low
      )
      inf = xp.array(xp.inf, dist1.high.dtype)
  
      return where.where(is_inf, inf, kl)
  
imports: import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import distribution
  from chainer.functions.array import broadcast
  from chainer.functions.array import where
  from chainer.functions.math import clip
  from chainer.functions.math import exponential
  from chainer.functions.math import sqrt
  from chainer import utils
  from chainer.utils import argument
  from chainer.utils import cache
label_desc: Use image node_id 1 for calling a global function with example usage: _kl_uniform_uniform(dist1, dist2) and returns: where