class_docstr: Abstract base class for inducing variables.
docstr: Returns the number of inducing variables, relevant for example to determine the size of the
  variational distribution.
docstr_tok: ["Returns","the","number","of","inducing","variables",",","relevant","for","example","to","determine","the","size","of","the","variational","distribution","."]
code: def num_inducing(self) -> tf.Tensor:
      """
      Returns the number of inducing variables, relevant for example to determine the size of the
      variational distribution.
      """
      raise NotImplementedError
  
imports: import abc
  from typing import Optional
  import tensorflow
  import tensorflow_probability
  from check_shapes import Shape, check_shapes
  from deprecated import deprecated
  from ..base import Module, Parameter, TensorData, TensorType
  from ..utilities import positive
label_desc: Use image node_id 1 for calling the InducingVariables obj's underlying member method code with example usage: obj.num_inducing() without return types