code: def forward(self, x):
      bs = x.size(0)
      prev = cur = self.stem(x)
      # aux_logits = None
  
      for layer in self.layers:
          prev, cur = layer(prev, cur)
  
      cur = self.gap(F.relu(cur)).view(bs, -1)
      cur = self.dropout(cur)
      logits = self.dense(cur)
  
      # if aux_logits is not None:
      #     return logits, aux_logits
      return logits
  
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 3 for calling the MicroNetwork obj's underlying member method code with example usage: obj.forward(x) and returns: logits