code: def Kuu_fallback_shared(
      inducing_variable: FallbackSharedIndependentInducingVariables,
      kernel: Union[SeparateIndependent, IndependentLatent],
      *,
      jitter: float = 0.0,
  ) -> tf.Tensor:
      Kmm = tf.stack(
          [
              Kuu(inducing_variable.inducing_variable, k)
              for k in kernel.kernels
          ],
          axis=0,
      )
      jittermat = (
          tf.eye(inducing_variable.num_inducing, dtype=Kmm.dtype)[
              None, :, :
          ]
          * jitter
      )
      return Kmm + jittermat
  
file_path: GPflow/gpflow/covariances/multioutput/kuus.py
imports: from typing import Union
  import tensorflow
  from check_shapes import check_shapes
  from ...inducing_variables import FallbackSeparateIndependentInducingVariables, FallbackSharedIndependentInducingVariables, InducingPoints
  from ...kernels import IndependentLatent, LinearCoregionalization, MultioutputKernel, SeparateIndependent, SharedIndependent
  from ..dispatch import Kuu
label_desc: Use image node_id 3 for calling a global function with example usage: Kuu_fallback_shared(inducing_variable, kernel) and returns: unknown