code: def test_add_model():
      lp, models = _build_logical_with_mnist(3)
  
      for node in lp.logical_graph.hidden_nodes:
          old_nodes = [
              m.root_graph.get_node_by_id(node.id) for m in models
          ]
  
          assert any(
              [
                  old_nodes[0].__repr__() == Node.__repr__(x)
                  for x in old_nodes
              ]
          )
  
imports: from pathlib import Path
  import pytest
  import torch
  import torch.nn
  import torchmetrics
  from torchvision.datasets import MNIST
  from torchvision import transforms
  from pytorch_lightning import seed_everything
  import nni
  from nni.experiment.config import RemoteConfig, RemoteMachineConfig
  from nni.nas.evaluator.pytorch import Lightning, DataLoader
  from nni.nas.execution import SequentialExecutionEngine
  from nni.nas.execution.cgo import CrossGraphOptimization
  from nni.nas.execution.cgo.evaluator import MultiModelLightningModule, MultiModelTrainer
  from nni.nas.execution.cgo.logical_optimizer.logical_plan import LogicalPlan
  from nni.nas.execution.cgo.logical_optimizer.opt_dedup_input import DedupInputOptimizer
  from nni.nas.space import Node, ModelStatus
  from nni.nas.space.pytorch import PytorchGraphModelSpace
  from nni.runtime.trial_command_channel import get_default_trial_command_channel, set_default_trial_command_channel
  from ut.sdk.helper.trial_command_channel import TestHelperTrialCommandChannel
label_desc: Use image node_id 9 for calling a global function with example usage: test_add_model() without return types