text: #!/usr/bin/env python
  ### how to fetch the result from output
  
  import tensorflow as tf
  
  input1 = tf.constant(3.0)
  input2 = tf.constant(2.0)
  input3 = tf.constant(5.0)
  
  intermd = tf.add(input2, input3)
  
  mul = tf.multiply(input1, intermd)
  
  with tf.Session() as sess:
  	result = sess.run([mul, intermd])
  	print result
  
  #COMMENT:
  ## In this example, they show how to fetch multiple data as one tensor, the result contains mul and intermd, 
  ## we can just assign to result and get them, later using CNN, we can store the temporary result and update
  ## this way it shows how to get the results
  
  ## COMMENT2:
  ## according to tensorflow v1.0, interface has changed,
  ## tf.mul, tf.sub and tf.neg are deprecated in favor of tf.multiply, tf.subtract and tf.negative.
  