code: def forward(self, x):
      # x = x.view(-1, 3, 32, 32)
      y = self.DiscBlock1(x)
      y = self.model(y)
      y = y.view(x.size(0), 128, -1)
      y = y.mean(dim=2)
      out = (
          self.l1(y).unsqueeze_(1).unsqueeze_(2)
      )  # or *.view(x.size(0), 128, 1, 1, 1)
      return out
  
imports: from torch import nn
label_desc: Use image node_id 2 for calling the Discriminator obj's underlying member method code with example usage: obj.forward(x) and returns: out