code: def parse_model(self, selection, device) -> BaseAutoModel:
      # return AutoGCN(self.input_dim, self.output_dim, device)
      return self.wrap().fix(selection)
  
imports: import typing
  import torch
  import torch.nn.functional
  from nni.nas.pytorch import mutables
  from .None import register_nas_space
  from .base import BaseSpace
  from ...model import BaseAutoModel
  from ..utils import count_parameters, measure_latency
  from torch import nn
  from .operation import act_map, gnn_map
  from ..backend import *
label_desc: Use image node_id 4 for calling the GraphNasNodeClassificationSpace obj's underlying member method code with example usage: obj.parse_model(selection, device) and returns: self