Sometimes we need to fetch and print the value of a TensorFlow variable to guarantee our program is correct.
For example, if we have the following program:
import tensorflow as tf
import numpy as np
a = tf.Variable(tf.random_normal([2,3])) # declare a tensorflow variable
b = tf.random_normal([2,2]) #declare a tensorflow tensor
init = tf.initialize_all_variables()
if we want to get the value of a or b, the following procedures can be used:
with tf.Session() as sess:
sess.run(init)
a_value = sess.run(a)
b_value = sess.run(b)
print a_value
print b_value
or
with tf.Session() as sess:
sess.run(init)
a_value = a.eval()
b_value = b.eval()
print a_value
print b_value