code: def forward(self, input):
      out = F.relu(self.fc1(input))
      out = self.nested(out)
  
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 2 for calling the NestedTestModule obj's underlying member method code with example usage: obj.forward(input) without return types