code: def _droconnect_unmapping_fn(
      module: torch.nn.Module,
  ) -> Optional[nn.Module]:
      new_module: Optional[nn.Module] = None
      if isinstance(module, WeightDropMixin):
          new_module = module.unpatch()
  
      if isinstance(module, nn.Dropout):
          module.p = module._baal_p  # type: ignore
  
      return new_module
  
imports: import copy
  import warnings
  from typing import List, Optional, cast, Dict
  from baal.bayesian.common import replace_layers_in_module, _patching_wrapper, BayesianModule
  import torch
  from torch import nn
  from packaging.version import parse
label_desc: Use image node_id 5 for calling a global function with example usage: _droconnect_unmapping_fn(module) and returns: new_module