class_docstr: DeeplabV2 Resnet implementation with FOV.
code: def forward(self, x):
      x = self.resnet_features(x)
      x = self.atrous(x)
      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_FOV obj's underlying member method code with example usage: obj.forward(x) and returns: x