code: def forward(self, x):
      bs = x.size(0)
      x = self.pooling(x)
      x = self.proj(x)
      x = self.avg_pool(x).view(bs, -1)
      x = self.fc(x)
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from nni.nas.pytorch import mutables
  from ops import FactorizedReduce, StdConv, SepConvBN, Pool
label_desc: Use image node_id 2 for calling the AuxiliaryHead obj's underlying member method code with example usage: obj.forward(x) and returns: x