code: def reset_parameters(self):
      for module in self.modules():
          if isinstance(module, nn.BatchNorm2d):
              module.eps = self.config.bn_eps
              module.momentum = self.config.bn_momentum
  
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 3 for calling the NasBench101 obj's underlying member method code with example usage: obj.reset_parameters() without return types