code: def _kl_gp_mvn(gp, mvn, name=None):
      """Calculate the batched KL divergence KL(gp || mvn).
  
      Args:
        gp: instance of a GaussianProcess distribution object.
        mvn: instance of a multivariate Normal distribution object (any subclass of
          MultivariateNormalLinearOperator)
        name: (optional) Name to use for created operations.
          default is 'kl_gp_mvn'.
  
      Returns:
        Batchwise KL(gp || mvn)
      """
      return _kl_gp_compatible(gp, mvn, name or "kl_gp_mvn")
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import cholesky_util
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_linear_operator
  from tensorflow_probability.python.distributions.internal import stochastic_process_util
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import batch_shape_lib
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import nest_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.math import linalg
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import nest
label_desc: Use image node_id 5 for calling a global function with example usage: _kl_gp_mvn(gp, mvn, name) and returns: _kl_gp_compatible