code: def forward(self, x):
      return self.net2(self.relu(self.net1(x)))
  
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 2 for calling the ToyModel obj's underlying member method code with example usage: obj.forward(x) and returns: self