code: def __init__(self):
      super().__init__()
      self.sequential_2 = nn.Sequential(
          nn.Linear(512, 512), nn.ReLU(), nn.Linear(512, 10)
      )
  
imports: from multiprocessing import Process
  from typing import List
  import unittest
  import numpy
  import pandas
  import os
  from bigdl.ppml.fl import *
  from bigdl.ppml.fl.nn.fl_server import FLServer
  from bigdl.ppml.fl.nn.fl_client import FLClient
  from bigdl.ppml.fl.nn.pytorch.utils import set_one_like_parameter
  from bigdl.ppml.fl.nn.fl_context import init_fl_context
  from bigdl.ppml.fl.estimator import Estimator
  from torch import Tensor, nn
  import torch
  from torch.utils.data import DataLoader
  from torchvision import datasets
  from torchvision.transforms import ToTensor
  from bigdl.ppml.fl.utils import FLTest
label_desc: Use image node_id 1 to create a new NeuralNetworkPart2 object from inherited base classes: nn with example: obj = NeuralNetworkPart2()