code: def set_all_parameters(self, value):
      self.fc1.weight.data.fill_(value)
      self.fc1.bias.data.fill_(value)
      self.nested.set_all_parameters(value)
  
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 3 for calling the NestedTestModule obj's underlying member method code with example usage: obj.set_all_parameters(value) without return types