code: def instantiate(
      self,
      hidden_dim: _typ.Optional[int] = None,
      layer_number: _typ.Optional[int] = None,
      dropout: _typ.Optional[float] = None,
      input_dim: _typ.Optional[int] = None,
      output_dim: _typ.Optional[int] = None,
      ops_type=None,
  ):
      super().instantiate()
      self.dropout = dropout or self.dropout
      self.hidden_dim = hidden_dim or self.hidden_dim
      self.layer_number = layer_number or self.layer_number
      self.input_dim = input_dim or self.input_dim
      self.output_dim = output_dim or self.output_dim
      self.ops_type = ops_type or self.ops_type
      self.ops = [gnn_list, gnn_list_proteins][self.ops_type]
      for layer in range(4):
          setattr(
              self,
              f"in{layer}",
              self.setInputChoice(
                  layer,
                  n_candidates=layer + 1,
                  n_chosen=1,
                  return_mask=False,
                  key=f"in{layer}",
              ),
          )
          setattr(
              self,
              f"op{layer}",
              self.setLayerChoice(
                  layer,
                  list(map(lambda x: StrModule(x), self.ops)),
                  key=f"op{layer}",
              ),
          )
      self.dummy = nn.Linear(1, 1)
  
imports: import os
  import logging
  from autogl.backend import DependentBackend
  from autogl.datasets import build_dataset_from_name
  import torch
  from torch import nn
  import torch.nn.functional
  from autogl.module.nas.backend import bk_feat, bk_label
  from autogl.module.nas.algorithm import Darts, RL, GraphNasRL, Enas, RandomSearch, Spos
  from autogl.module.nas.estimator import BaseEstimator
  from autogl.module.train.evaluation import Acc
  import numpy
  from autogl.solver.utils import set_seed
  from autogl.module.nas.space import BaseSpace
  import typing
  from nas_bench_graph import light_read, gnn_list, gnn_list_proteins, Arch
  import pandas
  import argparse
  import os
  import os.path
label_desc: Use image node_id 2 for calling the BenchSpace obj's underlying member method code with example usage: obj.instantiate(hidden_dim, layer_number, dropout, input_dim, output_dim, ops_type) without return types