code: def __init__(self):
      super().__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)
  
file_path: wandb/tests/functional_tests/t0_main/torch/t2_mp_simple.py
imports: import os
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import wandb
  from PIL import Image
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new MyModel object from inherited base classes: nn with example: obj = MyModel()