class_docstr: This class provides functionality to initialize the inducing point locations
  of an inducing point-based model, e.g. a `SingleTaskVariationalGP`.
docstr: Build the quality function required for this inducing point allocation strategy.
  
  Returns:
      A quality function.
docstr_tok: ["Build","the","quality","function","required","for","this","inducing","point","allocation","strategy",".","Returns",":","A","quality","function","."]
code: def _get_quality_function(
      self,
  ) -> QualityFunction:
      """
      Build the quality function required for this inducing point allocation strategy.
  
      Returns:
          A quality function.
      """
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Union
  import torch
  from botorch.exceptions.errors import UnsupportedError
  from botorch.models.model import Model
  from botorch.utils.probability.utils import ndtr, phi
  from gpytorch.module import Module
  from linear_operator.operators import LinearOperator
  from torch import Tensor
label_desc: Use image node_id 1 for calling the InducingPointAllocator obj's underlying member method code with example usage: obj._get_quality_function() without return types