In [1]:

    

import tensorflow as tf


    

In [2]:

    

print(tf.__version__)


    

    




1.3.0

In [3]:

    

x = tf.Variable(3, name='x')
y = tf.Variable(4, name='4')

z = x*x*y+ y + 2


    

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sess = tf.Session()

sess.run(x.initializer)
sess.run(y.initializer)
res = sess.run(z)
print(res)

sess.close()


    

    




42

In [7]:

    

# another way to write the same run code

with tf.Session() as sess:
    x.initializer.run()
    y.initializer.run()
    
    res = z.eval()
    print(res)  #session will close automatically


    

    




42

In [8]:

    

# instead of running initializer everytime, we can add a initialize node in our computation graph

init = tf.global_variables_initializer()

with tf.Session() as sess:
    init.run()
    print(z.eval())


    

    




42

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