code: def encrypt_digits():
      """Alice has images. Bob has labels"""
      digits = torchvision.datasets.MNIST(
          root="/tmp/data",
          train=True,
          transform=torchvision.transforms.ToTensor(),
          download=True,
      )
      images, labels = take_samples(digits)
      crypten.save_from_party(
          images, "/tmp/data/alice_images.pth", src=ALICE
      )
      crypten.save_from_party(
          labels, "/tmp/data/bob_labels.pth", src=BOB
      )
  
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 1 for calling a global function with example usage: encrypt_digits() without return types