code: def __init__(self, input_features, output_features):
      super(TestModule, self).__init__()
      self.fc1 = nn.Linear(input_features, 100)
      self.fc2 = nn.Linear(100, 50)
      self.fc3 = nn.Linear(50, output_features)
  
imports: import itertools
  import logging
  import math
  import random
  import unittest
  from collections import defaultdict
  import crypten
  import crypten.communicator
  import torch
  import torch.nn.functional
  from crypten.common import serial
  from crypten.common.tensor_types import is_float_tensor
  from crypten.config import cfg
  from test.multiprocess_test_case import get_random_test_tensor, MultiProcessTestCase
  from torch import nn
label_desc: Use image node_id 1 to create a new TestModule object from inherited base classes: nn with example: obj = TestModule(input_features, output_features)