tensorflow tf.Print not printing anything in Jupyter -

trying debug statements in python/tensorflow1.0 using jupyter , not output printed tf.print

thought sess.run(during training in below code) should have evaluated db1 tensor , print output did not happen db1.eval in evaluate phase , printing entire tensor x out "message x:".

def combine_inputs(x):  db1=tf.print(x,[x],message='x:')  return (tf.matmul(x, w) + b,db1) <<training code>> _,summary=sess.run([train_op,merged_summaries]) ## merged_summaries tensor triggers combine_inputs function. there   ## other tensor functions/coding in between , not giving entire code keep    ## simple; code works expected except tf.print  <<evaluate code>> print(db1.eval())  confused on following  a) why tf.print not printing during sess.run during training?  b) why explicit db1.eval necessary , expected tf.print trigger   sess.run. if eval required , copy tensor x in code db1  , evaluate out tf.print. correct? 

tried going through other questions (like below one). suggested implement memory_util or predefined function. learner not understand why tf.print not work in scenario

if encountered similar issues , please assist. thanks!

similar question in stackoverflow

according documentation, tf.print prints standard error (as of version 1.1), , it's not compatible jupyter notebook. that's why can't see output.

check here: https://www.tensorflow.org/api_docs/python/tf/print