code: def forward(self, x):
      bs = x.size(0)
  
      x = self.pool(F.relu(self.conv1(x)))
      x0 = F.relu(self.conv2(x))
      x1 = F.relu(self.conv3(x0))
  
      x0 = self.skipconnect([x0])
      if x0 is not None:
          x1 += x0
      x = self.pool(self.bn(x1))
  
      x = self.gap(x).view(bs, -1)
      x = F.relu(self.fc1(x))
      x = F.relu(self.fc2(x))
      x = self.fc3(x)
      return x
  
file_path: nni/examples/nas/legacy/oneshot/naive/train.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchvision
  import torchvision.transforms
  from nni.nas.pytorch.mutables import LayerChoice, InputChoice
  from nni.algorithms.nas.pytorch.darts import DartsTrainer
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x) and returns: x