code: def gpt_posterior_settings():
      r"""Context manager for settings used for computing model posteriors."""
      with ExitStack() as es:
          if gpt_settings.debug.is_default():
              es.enter_context(gpt_settings.debug(False))
          if gpt_settings.fast_pred_var.is_default():
              es.enter_context(gpt_settings.fast_pred_var())
          es.enter_context(
              gpt_settings.detach_test_caches(
                  settings.propagate_grads.off()
              )
          )
          yield
  
imports: from __future__ import annotations
  import warnings
  from contextlib import contextmanager, ExitStack
  from typing import Iterator, List, Optional, Tuple
  import torch
  from botorch import settings
  from botorch.exceptions import InputDataError, InputDataWarning
  from botorch.settings import _Flag
  from gpytorch import settings
  from gpytorch.module import Module
  from torch import Tensor
label_desc: Use image node_id 9 for calling a global function with example usage: gpt_posterior_settings() without return types