class_docstr: Fixed architecture mutator that always selects a certain graph, allowing deepcopy
  
  Parameters
  ----------
  model : nn.Module
      A mutable network.
  fixed_arc : dict
      Preloaded architecture object.
  strict : bool
      Force everything that appears in ``fixed_arc`` to be used at least once.
  verbose : bool
      Print log messages if set to True
code: def __init__(self, model, fixed_arc, strict=True, verbose=True):
      super().__init__(model, fixed_arc, strict, verbose)
  
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 1 to create a new CleanFixedArchitecture object from inherited base classes: FixedArchitecture with example: obj = CleanFixedArchitecture(model, fixed_arc, strict, verbose)