code: def forward(self, x):
      x = self.conv1(x)
      x = F.relu(self.bn1(x))
      x = self.maxpool(x)
  
      x = self.layer1(x)
      feat8 = self.layer2(x)  # 1/8
      feat16 = self.layer3(feat8)  # 1/16
      feat32 = self.layer4(feat16)  # 1/32
      return feat8, feat16, feat32
  
file_path: insightface/reconstruction/ostec/external/graphonomy/FaceHairMask/ParsingResnet.py
imports: import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
label_desc: Use image node_id 2 for calling the Resnet18 obj's underlying member method code with example usage: obj.forward(x) and returns: feat8,  feat16,  feat32