code: def forward(self, x):
      input_size = x.size()
      x = self.layer0(x)
  
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
      x = self.layer4(x)
  
      x = self.ppm(x)
      x = self.final(x)
  
      upsample = F.interpolate(x, input_size[2:], mode="bilinear")
  
      return upsample
  
file_path: pywick/pywick/models/segmentation/testnets/psp_saeed.py
imports: import torch
  import torch.nn.init
  import torch.nn
  from torchvision import models
  import torch.nn.functional
  import numpy
  import math
label_desc: Use image node_id 2 for calling the PSPNet obj's underlying member method code with example usage: obj.forward(x) and returns: upsample