code: def apply_fixed_architecture(model, fixed_arc, verbose=True):
      """
      Load architecture from `fixed_arc` and apply to model.
  
      Parameters
      ----------
      model : torch.nn.Module
          Model with mutables.
      fixed_arc : str or dict
          Path to the JSON that stores the architecture, or dict that stores the exported architecture.
      verbose : bool
          Print log messages if set to True
  
      Returns
      -------
      FixedArchitecture
          Mutator that is responsible for fixes the graph.
      """
  
      if isinstance(fixed_arc, str):
          with open(fixed_arc) as f:
              fixed_arc = json.load(f)
      architecture = CleanFixedArchitecture(model, fixed_arc, verbose)
      architecture.reset()
  
      # for the convenience of parameters counting
      architecture.replace_all_choice()
      return architecture
  
imports: from abc import abstractmethod
  import torch.nn
  from nni.nas.pytorch import mutables
  from nni.nas.pytorch.fixed import FixedArchitecture
  import json
  from copy import deepcopy
  import torch
  from ...model import BaseAutoModel
  from ....utils import get_logger
  from ..utils import get_hardware_aware_metric
label_desc: Use image node_id 2 for calling a global function with example usage: apply_fixed_architecture(model, fixed_arc, verbose) and returns: architecture