class_docstr: The box wrapping a space, can be passed to later procedure or trainer
  
  Parameters
  ----------
  space_model : BaseSpace
      The space which should be wrapped
  device : str or torch.device
      The device to place the model
code: def __repr__(self) -> str:
      return str(
          {
              "parameter": get_hardware_aware_metric(
                  self.model, "parameter"
              ),
              "model": self.model,
              "selection": self.selection,
          }
      )
  
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 6 for calling the BoxModel obj's underlying member method code with example usage: obj.__repr__() and returns: str