code: def __init__(self):
      super().__init__()
      self.conv1 = nn.Conv2d(1, 32, 3, 1)
      self.conv2 = nn.Conv2d(32, 64, 3, 1)
      self.dropout1 = nn.Dropout(0.25)
      self.dropout2 = nn.Dropout(0.5)
      self.fc1 = nn.Linear(9216, 128)
      self.fc2 = nn.Linear(128, 10)
  
imports: import os
  from pathlib import Path
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import wandb
  from metaflow import FlowSpec, Parameter, step
  from torch.optim.lr_scheduler import StepLR
  from torchvision import datasets, transforms
  from wandb.integration.metaflow import wandb_log
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: nn with example: obj = Net()