class_docstr: A list of box decompositions.
class_docstr_tok: ["A","list","of","box","decompositions","."]
docstr: Get the reference point.
  
  Note: Internally, we store the negative reference point (minimization).
  
  Returns:
      A `n_box_decompositions x m`-dim tensor of outcomes.
docstr_tok: ["Get","the","reference","point",".","Note",":","Internally",",","we","store","the","negative","reference","point","(","minimization",")",".","Returns",":","A","`","n_box_decompositions","x","m","`","-dim","tensor","of","outcomes","."]
code: def ref_point(self) -> Tensor:
      r"""Get the reference point.
  
      Note: Internally, we store the negative reference point (minimization).
  
      Returns:
          A `n_box_decompositions x m`-dim tensor of outcomes.
      """
      return torch.stack(
          [p.ref_point for p in self.box_decompositions], dim=0
      )
  
file_path: botorch/botorch/utils/multi_objective/box_decompositions/box_decomposition_list.py
imports: from __future__ import annotations
  from typing import List, Union
  import torch
  from botorch.exceptions.errors import BotorchTensorDimensionError
  from botorch.utils.multi_objective.box_decompositions.box_decomposition import BoxDecomposition
  from torch import Tensor
  from torch.nn import Module, ModuleList
label_desc: Use image node_id 3 for calling the BoxDecompositionList obj's underlying member method code with example usage: obj.ref_point() and returns: torch