code: def forward(self, x):
      x = self.initial(x)
      x1 = self.layer1(x)
      x2 = self.layer2(x1)
      x3 = self.layer3(x2)
      x4 = self.layer4(x3)
  
      return [x1, x2, x3, x4]
  
imports: import torch
  import logging
  import torch.nn
  import torch.nn.functional
  from torchvision import models
  from itertools import chain
  import numpy
  from collections import OrderedDict
label_desc: Use image node_id 2 for calling the ResNet obj's underlying member method code with example usage: obj.forward(x) and returns: list