In [1]:
import tensorflow as tf

In [2]:
import numpy as np

In [3]:
x_vals = np.array([1., 3., 5., 7., 9.])

In [4]:
x_data = tf.placeholder(tf.float32)

In [5]:
m_constant = tf.constant(3.)

In [6]:
my_product = tf.mul(x_data, m_constant)

In [7]:
with tf.Session() as sess:
    for x_val in x_vals:
        print(sess.run(my_product, feed_dict={x_data: x_val}))


3.0
9.0
15.0
21.0
27.0

In [ ]: