code: def reset_parameters(self):
      for m in self.modules():
          if isinstance(m, nn.Conv2d):
              nn.init.kaiming_normal_(m.weight)
  
file_path: nni/examples/nas/legacy/search_space_zoo/enas_micro_example.py
imports: import torch
  import logging
  import torch.nn
  import torch.nn.functional
  from argparse import ArgumentParser
  from torchvision import transforms
  from torchvision.datasets import CIFAR10
  from nni.algorithms.nas.pytorch import enas
  from utils import accuracy, reward_accuracy
  from nni.nas.pytorch.callbacks import ArchitectureCheckpoint, LRSchedulerCallback
  from nni.nas.pytorch.search_space_zoo import ENASMicroLayer
label_desc: Use image node_id 2 for calling the MicroNetwork obj's underlying member method code with example usage: obj.reset_parameters() without return types