code: def __init__(self, z_dim, hidden_1, hidden_2):
      super().__init__()
      self.fc1 = nn.Linear(784, hidden_1)
      self.fc2 = nn.Linear(hidden_1, hidden_2)
      self.fc31 = nn.Linear(hidden_2, z_dim)
      self.fc32 = nn.Linear(hidden_2, z_dim)
      self.relu = nn.ReLU()
  
imports: from pathlib import Path
  import numpy
  import torch
  import torch.nn
  from tqdm import tqdm
  import pyro
  import pyro.distributions
  from pyro.infer import SVI, Trace_ELBO
label_desc: Use image node_id 1 to create a new Encoder object from inherited base classes: nn with example: obj = Encoder(z_dim, hidden_1, hidden_2)