code: def prior_kl_vff(
      inducing_variable, kernel, q_mu, q_sqrt, whiten=False
  ):
      if whiten:
          raise NotImplementedError
      K = cov.Kuu(inducing_variable, kernel)
      return gauss_kl_vff(q_mu, q_sqrt, K)
  
imports: import numpy
  import tensorflow
  from check_shapes import Shape
  import gpflow
  from gpflow import covariances
  from gpflow import kullback_leiblers
  from gpflow.base import TensorLike
  from gpflow.ci_utils import reduce_in_tests
  from gpflow.inducing_variables import InducingVariables
  from gpflow.utilities import to_default_float
  import matplotlib.pyplot
  import gpflow.posteriors
label_desc: Use image node_id 5 for calling a global function with example usage: prior_kl_vff(inducing_variable, kernel, q_mu, q_sqrt, whiten) and returns: gauss_kl_vff