code: def forward(self, x):
      out = self.conv1(x)
      out = self.bn1(out)
      out = F.relu(out)
      at1 = self.layer1(out)
      at2 = self.layer2(at1)
      at3 = self.layer3(at2)
      at4 = self.layer4(at3)
      out = F.avg_pool2d(at4, 4)
      feature = out.view(out.size(0), -1)
      out = self.linear(feature)
      return out, at1, at2, at3, at4
  
imports: import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 for calling the ResnetWithAT obj's underlying member method code with example usage: obj.forward(x) and returns: out,  at1,  at2,  at3,  at4