code: def __init__(self, z_dim, hidden_dim):
      super().__init__()
      # setup the two linear transformations used
      self.fc1 = nn.Linear(z_dim, hidden_dim)
      self.fc21 = nn.Linear(hidden_dim, 784)
      # setup the non-linearities
      self.softplus = nn.Softplus()
  
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 Decoder object from inherited base classes: nn with example: obj = Decoder(z_dim, hidden_dim)