code: def __init__(self, n_features=N_FEATURES):
      super().__init__()
      self.linear1 = crypten.nn.Linear(n_features, n_features // 2)
      self.linear2 = crypten.nn.Linear(n_features // 2, n_features // 4)
      self.linear3 = crypten.nn.Linear(n_features // 4, 1)
  
imports: from dataclasses import dataclass
  from typing import Any
  import crypten
  import torch
  import torch.nn
  from torchvision import models
label_desc: Use image node_id 1 to create a new FeedForwardCrypTen object from inherited base classes: crypten.nn with example: obj = FeedForwardCrypTen(n_features)