Dot product of two vectors in tensorflow

Question

I was wondering if there is an easy way to calculate the dot product of two vectors (i.e. 1-d tensors) and return a scalar value in tensorflow.

Given two vectors X=(

Answer 1

Just use * and reduce_sum

ab = tf.reduce_sum(a*b)

Take a simple example as follows:

import tensorflow as tf
a = tf.constant([1,2,3])
b = tf.constant([2,3,4])

print(a.get_shape())
print(b.get_shape())

c = a*b
ab = tf.reduce_sum(c)

with tf.Session() as sess:
    print(c.eval())
    print(ab.eval())

# output
# (3,)
# (3,)
# [2 6 12]
# 20