code: def Kuu_conv_patch(
      inducing_variable: InducingPatches,
      kernel: Convolutional,
      jitter: float = 0.0,
  ) -> tf.Tensor:
      return kernel.base_kernel.K(
          inducing_variable.Z
      ) + jitter * tf.eye(
          inducing_variable.num_inducing, dtype=default_float()
      )
  
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 3 for calling a global function with example usage: Kuu_conv_patch(inducing_variable, kernel, jitter) and returns: unknown