code: def forward(self, x):
      input_size = x.shape[2:]
      x = self.conv1(x)
      x = self.bn1(x)
      x = self.relu(x)
      self.conv1_logit = x.clone()
      x = self.maxpool(x)
      x1 = self.layer1(x)
      x2 = self.layer2(x1)
      x3 = self.layer3(x2)
  
      # Resolution 1
      x_aug = self.layer5(x3)
      x_aug = F.interpolate(
          x_aug, size=input_size, mode="bilinear", align_corners=True
      )
  
      # Resolution 2
      x4 = self.layer4(x3)
      x6 = self.layer6(x4)
      x6 = F.interpolate(
          x6, size=input_size, mode="bilinear", align_corners=True
      )
  
      return [x6, x_aug, x1, x2, x3, x4]
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 4 for calling the ResNetMulti obj's underlying member method code with example usage: obj.forward(x) and returns: list