code: def forward(self, x):
      out = self.pre_layers(x)
      out = self.a3(out)
      out = self.b3(out)
      out = self.maxpool(out)
      out = self.a4(out)
      out = self.b4(out)
      out = self.c4(out)
      out = self.d4(out)
      out = self.e4(out)
      out = self.maxpool(out)
      out = self.a5(out)
      out = self.b5(out)
      out = self.avgpool(out)
      out = out.view(out.size(0), -1)
      out = self.linear(out)
      return out
  
file_path: nni/examples/trials/cifar10_pytorch/models/googlenet.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the GoogLeNet obj's underlying member method code with example usage: obj.forward(x) and returns: out