class_docstr: Abstract base class for botorch posteriors.
  
  :meta private:
class_docstr_tok: ["Abstract","base","class","for","botorch","posteriors",".",":","meta","private",":"]
docstr: The torch dtype of the distribution.
docstr_tok: ["The","torch","dtype","of","the","distribution","."]
code: def dtype(self) -> torch.dtype:
      r"""The torch dtype of the distribution."""
      pass
  
file_path: botorch/botorch/posteriors/posterior.py
imports: from __future__ import annotations
  import warnings
  from abc import ABC, abstractmethod, abstractproperty
  from typing import Optional, Tuple
  import torch
  from torch import Tensor
label_desc: Use image node_id 6 for calling the Posterior obj's underlying member method code with example usage: obj.dtype() without return types