code: def __init__(self):
      super(NeuralNetwork, self).__init__()
      self.flatten = nn.Flatten()
      self.linear_relu_stack = nn.Sequential(
          nn.Linear(28 * 28, 512),
          nn.ReLU(),
          nn.Linear(512, 512),
          nn.ReLU(),
          nn.Linear(512, 10),
          nn.ReLU(),
      )
  
imports: import json
  import os
  import time
  from pathlib import Path
  from typing import Dict, Tuple
  import click
  import numpy
  import torch
  from torch import nn, distributed
  from torch.utils.data import DataLoader, DistributedSampler
  from torch.utils.data.dataloader import default_collate
  from torchvision import datasets
  from torchvision.transforms import ToTensor
label_desc: Use image node_id 1 to create a new NeuralNetwork object from inherited base classes: nn with example: obj = NeuralNetwork()