code: def forward(self, x):
      y_hat = self.model(x)
      return y_hat
  
imports: import click
  import nni
  import nni.retiarii.evaluator.pytorch.lightning
  import torch.nn
  import torchmetrics
  from nni.retiarii import model_wrapper, serialize
  from nni.retiarii.experiment.pytorch import RetiariiExperiment, RetiariiExeConfig
  from nni.retiarii.nn.pytorch import NasBench101Cell
  from nni.retiarii.strategy import Random
  from pytorch_lightning.callbacks import LearningRateMonitor
  from timm.optim import RMSpropTF
  from torch.optim.lr_scheduler import CosineAnnealingLR
  from torchvision import transforms
  from torchvision.datasets import CIFAR10
  from base_ops import Conv3x3BnRelu, Conv1x1BnRelu, Projection
label_desc: Use image node_id 2 for calling the NasBench101TrainingModule obj's underlying member method code with example usage: obj.forward(x) and returns: y_hat