class_docstr: Multioutput Inducing Variables
  Base class for methods which define a collection of inducing variables which
  in some way can be grouped. The main example is where the inducing variables
  consist of outputs of various independent GPs. This can be because our model
  uses multiple independent GPs (SharedIndependent, SeparateIndependent) or
  because it is constructed from independent GPs (eg IndependentLatent,
  LinearCoregionalization).
code: def inducing_variables(self) -> Tuple[InducingVariables, ...]:
      raise NotImplementedError
  
imports: from typing import Sequence, Tuple
  import tensorflow
  from check_shapes import Shape, check_shapes
  from ..inducing_variables import InducingVariables
label_desc: Use image node_id 1 for calling the MultioutputInducingVariables obj's underlying member method code with example usage: obj.inducing_variables() without return types