code: def forward(self, img):
      conv_out = self.conv_block(img)
      conv_out = conv_out.view(img.size(0), 64 * 7 * 7)
      l2_value = self.fc_block(conv_out)
      l2_value = l2_value.unsqueeze_(dim=2).unsqueeze_(dim=3)
      return l2_value
  
file_path: gans-with-pytorch/lsgan/lsgan.py
imports: import argparse
  import torch
  from torch import nn, optim
  from torch.autograd.variable import Variable
  from torchvision import transforms, datasets
  from torch.utils.data import DataLoader
label_desc: Use image node_id 2 for calling the Discriminator obj's underlying member method code with example usage: obj.forward(img) and returns: l2_value