code: def Kuu_kernel_inducingpoints(
      inducing_variable: InducingPoints,
      kernel: Kernel,
      *,
      jitter: float = 0.0,
  ) -> tf.Tensor:
      Kzz = kernel(inducing_variable.Z)
      Kzz += jitter * tf.eye(
          inducing_variable.num_inducing, dtype=Kzz.dtype
      )
      return Kzz
  
file_path: GPflow/gpflow/covariances/kuus.py
imports: import tensorflow
  from check_shapes import check_shapes
  from ..config import default_float
  from ..inducing_variables import InducingPatches, InducingPoints, Multiscale
  from ..kernels import Convolutional, Kernel, SquaredExponential
  from .dispatch import Kuu
label_desc: Use image node_id 1 for calling a global function with example usage: Kuu_kernel_inducingpoints(inducing_variable, kernel) and returns: Kzz