class_docstr: DeeplabV2 Resnet implementation with ASPP.
code: def forward(self, x):
      x = self.resnet_features(x)
      x1 = self.aspp1(x)
      x2 = self.aspp2(x)
      x3 = self.aspp3(x)
      x4 = self.aspp4(x)
  
      x = x1 + x2 + x3 + x4
      x = F.interpolate(x, scale_factor=8, mode="bilinear")
  
      return x
  
imports: import math
  import torch.nn
  import torch.nn.functional
  import torchvision.models
label_desc: Use image node_id 2 for calling the DeepLabv2_ASPP obj's underlying member method code with example usage: obj.forward(x) and returns: x