code: def forward(self, x):
      fm0 = self.layer0(x)
      fm1 = self.layer1(fm0)
      fm2 = self.layer2(fm1)
      fm3 = self.layer3(fm2)
      fm4 = self.layer4(fm3)
  
      gcfm1 = self.brm1(self.gcm1(fm4))
      gcfm2 = self.brm2(self.gcm2(fm3))
      gcfm3 = self.brm3(self.gcm3(fm2))
      gcfm4 = self.brm4(self.gcm4(fm1))
  
      fs1 = self.brm5(
          F.interpolate(gcfm1, fm3.size()[2:], mode="bilinear") + gcfm2
      )
      fs2 = self.brm6(
          F.interpolate(fs1, fm2.size()[2:], mode="bilinear") + gcfm3
      )
      fs3 = self.brm7(
          F.interpolate(fs2, fm1.size()[2:], mode="bilinear") + gcfm4
      )
      fs4 = self.brm8(
          F.interpolate(fs3, fm0.size()[2:], mode="bilinear")
      )
      fs5 = self.brm9(
          F.interpolate(fs4, self.input_size, mode="bilinear")
      )
  
      ppm = torch.cat([self.psp(fs5), fs5], 1)
      out = self.final(ppm)
  
      return out
  
imports: from math import floor
  import torch
  import torch.nn.functional
  from torch import nn
  from torchvision import models
label_desc: Use image node_id 2 for calling the GCN_PSP obj's underlying member method code with example usage: obj.forward(x) and returns: out