import tensorflow as tf

matrix1=tf.constant([[3,3]])
matrix2=tf.constant([[2],[2]])

product=tf.matmul(matrix1,matrix2)

# method 1
sess=tf.Session()
result=sess.run(product)
print (result)
sess.close()

# method 2
# pickle?
with tf.Session() as sess:
	result2=sess.run(product)
	print(result2)



e381a8c7c727f57d822171781693818e01adaab8
<mask token>

<mask token>
print(result)
sess.close()
with tf.Session() as sess:
    result2 = sess.run(product)
    print(result2)

<mask token>
matrix1 = tf.constant([[3, 3]])
matrix2 = tf.constant([[2], [2]])
product = tf.matmul(matrix1, matrix2)
sess = tf.Session()
result = sess.run(product)
print(result)
sess.close()
with tf.Session() as sess:
    result2 = sess.run(product)
    print(result2)

import tensorflow as tf
matrix1 = tf.constant([[3, 3]])
matrix2 = tf.constant([[2], [2]])
product = tf.matmul(matrix1, matrix2)
sess = tf.Session()
result = sess.run(product)
print(result)
sess.close()
with tf.Session() as sess:
    result2 = sess.run(product)
    print(result2)

import tensorflow as tf

matrix1=tf.constant([[3,3]])
matrix2=tf.constant([[2],[2]])

product=tf.matmul(matrix1,matrix2)

# method 1
sess=tf.Session()
result=sess.run(product)
print (result)
sess.close()

# method 2
# pickle?
with tf.Session() as sess:
	result2=sess.run(product)
	print(result2)


