code: def __init__(self):
      super(Net, self).__init__()
      self.conv1 = nn.Conv2d(1, 20, 5, 1)
      self.conv2 = nn.Conv2d(20, 50, 5, 1)
      self.fc1 = nn.Linear(4 * 4 * 50, 500)
      self.fc2 = nn.Linear(500, 10)
  
file_path: clearml/examples/frameworks/pytorch/pytorch_mnist.py
imports: from __future__ import print_function
  import argparse
  import os
  from tempfile import gettempdir
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torchvision import datasets, transforms
  from clearml import Task, Logger
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()