code: def __init__(self):
      super(Net, self).__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: labml/samples/pytorch/cifar10/cifar10.py
imports: import torch.nn
  import torch.nn.functional
  from labml import experiment
  from labml.configs import option
  from labml_helpers.datasets.cifar10 import CIFAR10Configs
  from samples.pytorch.mnist.e_labml_helpers import Configs
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()