code: def __init__(self, dyParameterCollection):
      assert isinstance(dyParameterCollection, dy.ParameterCollection)
  
      self.fc1 = DynetLinear(784, 400, dyParameterCollection)
      self.fc21 = DynetLinear(400, 20, dyParameterCollection)
      self.fc22 = DynetLinear(400, 20, dyParameterCollection)
      self.fc3 = DynetLinear(20, 400, dyParameterCollection)
      self.fc4 = DynetLinear(400, 784, dyParameterCollection)
  
      self.relu = dy.rectify
      self.sigmoid = dy.logistic
  
      self.training = False
  
file_path: dynet/examples/variational-autoencoder/basic-image-recon/vae.py
imports: from __future__ import print_function
  from utils import load_mnist, make_grid, pre_pillow_float_img_process, save_image
  import numpy
  import argparse
  import dynet
  import os
  import time
label_desc: Use image node_id 1 to create a new VAE object  with example: obj = VAE(dyParameterCollection)