code: def __init__(self):
      super(CNN, self).__init__()
      self.conv1 = nn.Conv2d(1, 16, kernel_size=5, padding=0)
      self.fc1 = nn.Linear(16 * 12 * 12, 100)
      self.fc2 = nn.Linear(100, 2)
  
file_path: CrypTen/examples/mpc_autograd_cnn/mpc_autograd_cnn.py
imports: import tempfile
  import crypten
  import crypten.communicator
  import torch
  import torch.nn
  import torch.nn.functional
  from examples.util import NoopContextManager
  from torchvision import datasets, transforms
label_desc: Use image node_id 1 to create a new CNN object from inherited base classes: nn with example: obj = CNN()