How does one debug NaN values in TensorFlow?

Question

I was running TensorFlow and I happen to have something yielding a NaN. I\'d like to know what it is but I do not know how to do this. The main issue is that in a \"normal\"

Answer 1

It look like you can call it after you complete making the graph.

check = tf.add_check_numerics_ops()

I think this will add the check for all floating point operations. Then in the sessions run function you can add the check operation.

sess.run([check, ...])