code: def forward_xp(self, inputs, xp):
      mean, ln_var = inputs
      if xp is chainerx:
          out = xp.gaussian_kl_divergence(mean, ln_var)
      else:
          out = xp.gaussian_kl_divergence(mean, ln_var, reduce="no")
      return (out,)
  
imports: import numpy
  import chainer
  from chainer import functions
  import chainerx
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 1 for calling the TestGaussianKLDivergence obj's underlying member method code with example usage: obj.forward_xp(inputs, xp) and returns: out