code: def __init__(self, z_dim=50, hidden_dim=400, use_cuda=False):
      super().__init__()
      # create the encoder and decoder networks
      self.encoder = Encoder(z_dim, hidden_dim)
      self.decoder = Decoder(z_dim, hidden_dim)
  
      if use_cuda:
          # calling cuda() here will put all the parameters of
          # the encoder and decoder networks into gpu memory
          self.cuda()
      self.use_cuda = use_cuda
      self.z_dim = z_dim
  
imports: import argparse
  import numpy
  import torch
  import torch.nn
  import visdom
  from utils.mnist_cached import MNISTCached
  from utils.mnist_cached import setup_data_loaders
  from utils.vae_plots import mnist_test_tsne, plot_llk, plot_vae_samples
  import pyro
  import pyro.distributions
  from pyro.infer import SVI, JitTrace_ELBO, Trace_ELBO
  from pyro.optim import Adam
label_desc: Use image node_id 1 to create a new VAE object from inherited base classes: nn with example: obj = VAE(z_dim, hidden_dim, use_cuda)