!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip

!unzip ngrok-stable-linux-amd64.zip

LOG_DIR = './log'
get_ipython().system_raw(
'tensorboard --logdir {} --host 0.0.0.0 --port 6006 &'
.format(LOG_DIR)
)

get_ipython().system_raw('./ngrok http 6006 &')

! curl -s http://localhost:4040/api/tunnels | python3 -c \
"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"

import tensorflow as tf

a = tf.constant(10)
b = tf.constant(10)
c = tf.add(a,b)
print(a)
print(b)
with tf.Session() as sess:
  print(sess.run(c))

a=tf.constant([2,2],name='a')
b=tf.constant([[0,1],[2,3]],name='b')
x=tf.add(a,b,name='add')
y=tf.multiply(a,b,name='mul')
with tf.Session() as sess:
 x,y=sess.run([x,y])
print(x,y)

input_tensor = tf.constant([[0,1], [2,3] , [4,5]])
like_t = tf.ones_like(input_tensor)
my_mul = tf.multiply(like_t , input_tensor , name = "mul")

with tf.Session() as sess:
  my_mul = sess.run(my_mul)
  
print(my_mul)

import numpy as np

m1 = [[1 ,2] ,[3 ,4]]

m2 = np.array([[1 ,2],[3,4]] , dtype= np.float32)

m3 = tf.constant([[1,2] , [3,4]])

print(m1)
print(m2)
print("\n m3 :" ,m3)

t1 = tf.convert_to_tensor(m1 , dtype = tf.float32)
t2 = tf.convert_to_tensor(m2 , dtype = tf.float32)
t3 = tf.convert_to_tensor(m3 , dtype = tf.int32)

print(t1)
print(t2)
print(t3)