code: def forward(self, x):
      x = x.view(-1, 28 * 28)
      return self.linear(x)
  
file_path: CrypTen/pycon-workshop-2020/training_across_parties.py
imports: import sys
  import crypten
  import torch
  import torchvision
  from multiprocess_launcher import MultiProcessLauncher
label_desc: Use image node_id 2 for calling the LogisticRegression obj's underlying member method code with example usage: obj.forward(x) and returns: self