code: def __init__(self):
      super(ToyModel, self).__init__()
      self.net1 = nn.Linear(10, 10)
      self.relu = nn.ReLU()
      self.net2 = nn.Linear(10, 5)
  
imports: import os
  import sys
  import unittest
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.nn
  import torch.optim
  from opacus import PrivacyEngine
  from opacus.distributed import DifferentiallyPrivateDistributedDataParallel
  from opacus.optimizers.ddp_perlayeroptimizer import DistributedPerLayerOptimizer, SimpleDistributedPerLayerOptimizer
  from opacus.optimizers.ddpoptimizer import DistributedDPOptimizer
  from torch.nn.parallel import DistributedDataParallel
  from torch.utils.data import DataLoader, TensorDataset
  from torch.utils.data.distributed import DistributedSampler
label_desc: Use image node_id 1 to create a new ToyModel object from inherited base classes: nn with example: obj = ToyModel()