code: def _fallback_Kuf(
      kuf_impl: Callable[
          [
              Union[
                  SeparateIndependentInducingVariables,
                  SharedIndependentInducingVariables,
              ],
              LinearCoregionalization,
              TensorType,
          ],
          tf.Tensor,
      ],
      inducing_variable: Union[
          SeparateIndependentInducingVariables,
          SharedIndependentInducingVariables,
      ],
      kernel: LinearCoregionalization,
      Xnew: TensorType,
  ) -> tf.Tensor:
      K = tf.transpose(
          kuf_impl(inducing_variable, kernel, Xnew), [1, 0, 2]
      )
      return K[:, :, :, None] * tf.transpose(kernel.W)[None, :, None, :]
  
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 6 for calling a global function with example usage: _fallback_Kuf(kuf_impl, inducing_variable, kernel, Xnew) and returns: unknown