code: def _ensure_updated_strategy_flag_set(
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      if prefix + "constant" in state_dict:
          constant = state_dict.pop(prefix + "constant").squeeze(
              -1
          )  # Remove deprecated singleton dimension
          state_dict[prefix + "raw_constant"] = constant
          warnings.warn(
              "You have loaded a GP model with a ConstantMean  from a previous version of "
              "GPyTorch. The mean module parameter `constant` has been renamed to `raw_constant`. "
              "Additionally, the shape of `raw_constant` is now *batch_shape, whereas the shape of "
              "`constant` was *batch_shape x 1. "
              "We have updated the name/shape of the parameter in your state dict, but we recommend that you "
              "re-save your model.",
              OldVersionWarning,
          )
  
file_path: gpytorch/gpytorch/means/constant_mean.py
imports: import warnings
  from typing import Any, Optional
  import torch
  from ..constraints import Interval
  from ..priors import Prior
  from ..utils.warnings import OldVersionWarning
  from .mean import Mean
label_desc: Use image node_id 1 for calling a global function with example usage: _ensure_updated_strategy_flag_set(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) without return types