code: def forward(self, *args, **kwargs):
      return self.name
  
imports: import os
  import logging
  from autogl.backend import DependentBackend
  from autogl.datasets import build_dataset_from_name
  import torch
  import torch.nn.functional
  from autogl.module.nas.space.single_path import SinglePathNodeClassificationSpace
  from autogl.module.nas.space.graph_nas import GraphNasNodeClassificationSpace
  from autogl.module.nas.space.graph_nas_macro import GraphNasMacroNodeClassificationSpace
  from autogl.module.nas.estimator.one_shot import OneShotEstimator
  from autogl.module.nas.estimator.train_scratch import TrainEstimator
  from autogl.module.nas.algorithm.agnn_rl import AGNNRL
  from autogl.module.nas.space.autoattend import AutoAttendNodeClassificationSpace
  from autogl.module.nas.backend import bk_feat, bk_label
  from autogl.module.nas.algorithm import Darts, RL, GraphNasRL, Enas, RandomSearch, Spos
  import numpy
  from autogl.solver.utils import set_seed
  from autogl.module.nas.space import BaseSpace
  import typing
  from torch import nn
  import nni
  import os.path
  import pickle
  from autogl.module.nas.estimator import BaseEstimator
  from autogl.module.train.evaluation import Acc
  import pandas
  import argparse
  import torch
  import os
label_desc: Use image node_id 2 for calling the StrModule obj's underlying member method code with example usage: obj.forward() and returns: self