code: def __init__(self):
      super().__init__()
      self.conv1 = nn.Conv2d(3, 6, 5)
      self.pool = nn.MaxPool2d(2, 2)
      self.conv2 = nn.Conv2d(6, 16, 5)
      self.fc1 = nn.Linear(16 * 5 * 5, 120)
      self.fc2 = nn.Linear(120, 84)
      self.fc3 = nn.Linear(84, 10)
  
file_path: pytorch-lightning/tests/parity_fabric/models.py
imports: from abc import ABC, abstractmethod
  from typing import Callable
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.optim import Optimizer
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 1 to create a new ConvNet object from inherited base classes: ParityModel with example: obj = ConvNet()