import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

# a = (b + c) * (c + 2)

const = tf.constant(2.0, name='const')

# create variables
b = tf.Variable(2.0, name='b')
c = tf.Variable(1.0, name='c')

# Fill the operations
d = tf.add(b, c, name='d')
e = tf.add(c, const, name='e')

a = tf.multiply(d, e, name='a')

# Variable initialization
init_op = tf.global_variables_initializer()

with tf.Session() as sess:
    sess.run(init_op)

    a_out = sess.run(a)

    print(a_out)

9.0

b = tf.placeholder(tf.float32, [None, 1], name='b')

import numpy as np

with tf.Session() as sess:
    sess.run(init_op)

    b_out = sess.run(a, feed_dict={b: np.arange(0, 10)[:, np.newaxis]})

    print(b_out)

9.0