tensorboard : No graph definition files were found

Question

I had a neural network model which i tried to visualise through Tensorboard. The code worked but the Tensorboard graph did not pick up any values. So i went back and tried a simple code for tensorboard to see what is the issue.

Here is the simple code.

import tensorflow as tf

a = tf.add(1, 2,)
b = tf.multiply(a, 3)
c = tf.add(4, 5,)
d = tf.multiply(c, 6,)
e = tf.multiply(4, 5,)
f = tf.div(c, 6,)
g = tf.add(b, d)
h = tf.multiply(g, f)

with tf.Session() as sess:
    print(sess.run(h))

with tf.Session() as sess:
    writer = tf.summary.FileWriter("output", sess.graph)
    print(sess.run(h))
    writer.close()

When i launch this through tensorboard --logdir path/to/logs the graph launches with no results. See the snapshot. Tensorboard output

No graph definition files were found.

Debugging with with tensorboard --inspect --logdir DIRECTORY_PATH i see this.

Event statistics for ...- graph first_step 0 last_step 0 max_step 0 min_step 0 num_steps 1 outoforder_steps [] histograms - images - scalars - sessionlog:checkpoint - sessionlog:start - sessionlog:stop - tensor -

Any idea where i am going wrong. Thanks for your time.