code: def _variational_expectations(
      self,
      X: TensorType,
      Fmu: TensorType,
      Fvar: TensorType,
      Y: TensorType,
  ) -> tf.Tensor:
      return self._partition_and_stitch(
          [X, Fmu, Fvar, Y], "variational_expectations"
      )
  
imports: import abc
  from typing import Any, Callable, Iterable, Optional, Sequence, Union
  import tensorflow
  from check_shapes import check_shapes, inherit_check_shapes
  from ..base import MeanAndVariance, Module, TensorType
  from ..quadrature import GaussianQuadrature, NDiagGHQuadrature, ndiag_mc
label_desc: Use image node_id 5 for calling the SwitchedLikelihood obj's underlying member method code with example usage: obj._variational_expectations(X, Fmu, Fvar, Y) and returns: self