code: def __init__(self, hidden_1, hidden_2):
      super().__init__()
      self.fc1 = nn.Linear(784, hidden_1)
      self.fc2 = nn.Linear(hidden_1, hidden_2)
      self.fc3 = nn.Linear(hidden_2, 784)
      self.relu = nn.ReLU()
  
file_path: pyro/examples/cvae/baseline.py
imports: import copy
  from pathlib import Path
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new BaselineNet object from inherited base classes: nn with example: obj = BaselineNet(hidden_1, hidden_2)