code: def generative_network(eps):
      net = tf.layers.dense(eps, 128, activation=tf.nn.relu)
      net = tf.layers.dense(net, 784, activation=tf.sigmoid)
      return net
  
file_path: edward/examples/gan_wasserstein.py
imports: from __future__ import absolute_import
  from __future__ import print_function
  from __future__ import division
  import edward
  import matplotlib.pyplot
  import matplotlib.gridspec
  import numpy
  import os
  import tensorflow
  from edward.models import Uniform
  from observations import mnist
label_desc: Use image node_id 2 for calling a global function with example usage: generative_network(eps) and returns: net