code: def forward(self, x):
      output = self.net(x)
      # output = output.mean((2, 3), True)
      # output = output.squeeze(-1).squeeze(-1)
      # output = output.mean(dim=(-1,-2))
      return output
  
imports: import torch
  import torch.nn
  from torch.autograd import Variable
  from torch.nn import functional
  import torchvision
  from torchvision import models
  import pytorch_lightning
label_desc: Use image node_id 4 for calling the Discriminator obj's underlying member method code with example usage: obj.forward(x) and returns: output