code: def Kuf(inducing_variable, kernel, a_input):
      return kernel.base_kernel(
          inducing_variable.Z, kernel.cnn(a_input)
      )
  
file_path: GPflow/doc/sphinx/notebooks/tailor/gp_nn.pct.py
imports: from typing import Dict, Optional, Tuple
  import numpy
  import tensorflow
  import tensorflow_datasets
  from scipy.cluster.vq import kmeans2
  import gpflow
  from gpflow.ci_utils import reduce_in_tests
  from gpflow.utilities import to_default_float
label_desc: Use image node_id 3 for calling a global function with example usage: Kuf(inducing_variable, kernel, a_input) and returns: kernel