code: def Kuf_generic(
      inducing_variable: InducingPoints,
      kernel: MultioutputKernel,
      Xnew: TensorType,
  ) -> tf.Tensor:
      return kernel(
          inducing_variable.Z, Xnew, full_cov=True, full_output_cov=True
      )
  
file_path: GPflow/gpflow/covariances/multioutput/kufs.py
imports: from typing import Callable, Union
  import tensorflow
  from check_shapes import check_shapes
  from ...base import TensorType
  from ...inducing_variables import FallbackSeparateIndependentInducingVariables, FallbackSharedIndependentInducingVariables, InducingPoints, SeparateIndependentInducingVariables, SharedIndependentInducingVariables
  from ...kernels import LinearCoregionalization, MultioutputKernel, SeparateIndependent, SharedIndependent
  from ..dispatch import Kuf
label_desc: Use image node_id 1 for calling a global function with example usage: Kuf_generic(inducing_variable, kernel, Xnew) and returns: kernel