code: def __init__(self):
      super(Net2, self).__init__()
      self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
      self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
      self.conv2_drop = nn.Dropout2d()
      self.fc1 = nn.Linear(320, 50)
      self.fc2 = nn.Linear(50, 10)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from torch.autograd import Variable
  from tensorboardX import SummaryWriter
  import pytest
label_desc: Use image node_id 1 to create a new Net2 object from inherited base classes: nn with example: obj = Net2()