Why does tf.Print() does not print in tensorflow

Question

The following code does not give any error but does not print the tensor too.

import tensorflow as tf
import numpy as np

# Some tensor we want to print the value of
x = tf.placeholder(tf.float32, shape=[2, 2, 2])
a = np.array([[[1.,1.], [1.,1.]], [[2.,2.], [2.,2.]]])

m = tf.Print(x,[x])

with tf.Session() as sess:
    sess.run(tf.initialize_all_variables())
    m_eval = m.eval(session=sess,feed_dict={x: a})

EDIT: after bgshi's reply, I found that in iPython console, the code does print the tensor value. But I'm using iPython notebook. Is there a way to make it displayed in notebook?

Answer 1

From the documentation:

This op prints to the standard error. It is not currently compatible with jupyter notebook (printing to the notebook server's output, not into the notebook)

tf.print documentation