code: def reconstruct_img(self, x):
      # encode image x
      z_loc, z_scale = self.encoder(x)
      # sample in latent space
      z = dist.Normal(z_loc, z_scale).sample()
      # decode the image (note we don't sample in image space)
      loc_img = self.decoder(z)
      return loc_img
  
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 4 for calling the VAE obj's underlying member method code with example usage: obj.reconstruct_img(x) and returns: loc_img