import tensorflow as tf
import numpy as np

x = tf.Variable(0, dtype=tf.float32)
tf.summary.scalar("X", x)

init = tf.global_variables_initializer()
with tf.Session() as sess:
    writer = tf.summary.FileWriter('./logs', sess.graph)
    sess.run(init)
    for i in range(1, 11):
        merge = tf.summary.merge_all()
        x = tf.add(x, 1)

        summary, x = sess.run([merge, x])

        writer.add_summary(summary, i)
    print("X = ", x)