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_abseil.py
imports: from __future__ import print_function
  import os
  from tempfile import gettempdir
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from absl import app, flags
  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()