code: def Kuf_shared_separate(
      inducing_variable: SharedIndependentInducingVariables,
      kernel: SeparateIndependent,
      Xnew: TensorType,
  ) -> tf.Tensor:
      return tf.stack(
          [
              Kuf(inducing_variable.inducing_variable, k, Xnew)
              for k in kernel.kernels
          ],
          axis=0,
      )
  
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 4 for calling a global function with example usage: Kuf_shared_separate(inducing_variable, kernel, Xnew) and returns: tf