code: def _expectation_diagonal_generic(
      p: DiagonalGaussian,
      obj1: ExpectationObject,
      feat1: Optional[InducingVariables],
      obj2: ExpectationObject,
      feat2: Optional[InducingVariables],
      nghp: None = None,
  ) -> tf.Tensor:
      gaussian = Gaussian(p.mu, tf.linalg.diag(p.cov))
      return expectation(
          gaussian,
          cast(PackedExpectationObject, (obj1, feat1)),
          cast(PackedExpectationObject, (obj2, feat2)),
          nghp=nghp,
      )
  
file_path: GPflow/gpflow/expectations/misc.py
imports: from typing import Optional, Type, Union, cast
  import tensorflow
  from check_shapes import check_shapes
  from ..None import kernels
  from ..None import mean_functions
  from ..inducing_variables import InducingPoints, InducingVariables
  from ..probability_distributions import DiagonalGaussian, Gaussian, MarkovGaussian
  from .None import dispatch
  from .expectations import ExpectationObject, PackedExpectationObject, expectation
label_desc: Use image node_id 6 for calling a global function with example usage: _expectation_diagonal_generic(p, obj1, feat1, obj2, feat2, nghp) and returns: expectation