code: def output(self, mu, sigma, **kwargs):
      return mu + tf.exp(sigma) * tf.random_normal(tf.shape(mu))
  
file_path: neupy/examples/autoencoder/variational_autoencoder.py
imports: import numpy
  import tensorflow
  import matplotlib.pyplot
  import matplotlib.gridspec
  from sklearn import model_selection, datasets
  from neupy import algorithms
  from neupy.layers import *
  from neupy.exceptions import LayerConnectionError
label_desc: Use image node_id 2 for calling the GaussianSample obj's underlying member method code with example usage: obj.output(mu, sigma) and returns: unknown