code: def forward(self, x):
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
      x = self.maxpool(x)
  
      x1 = self.layer1(x)
      x2 = self.layer2(x1)
      x3 = self.layer3(x2)
      x4 = self.layer4(x3)
  
      if self.isseed:
          out = self.layer5(x4)
      else:
          out = (x1, x2, x3, x4)
      return out
  
imports: import math
  import torch
  import torch.nn
  from torch.nn.parameter import Parameter
  import torch.nn.functional
label_desc: Use image node_id 4 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: out