import os
import tensorflow as tf


x = tf.constant(1.0, name='input')
w = tf.Variable(0.8, name='weight')
y = tf.multiply(w, x, name='output')
y_ = tf.constant(0.0,name='target')
loss = (y - y_)**2

train_step = tf.train.GradientDescentOptimizer(0.025).minimize(loss)

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())


    for i in range(100):
        
        sess.run(train_step)
    writer = tf.summary.FileWriter('./logs/plot111', sess.graph)

    writer.close()

os.system('tensorboard --logdir=./logs/plot111 --port 6006' )