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

c60c620e924966c0eb92186d72a91eb50cbc7aa1
<mask token>

<mask token>
print(result)
tf.Session().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(matrix2, matrix1)
result = tf.Session().run(product)
print(result)
tf.Session().close()
with tf.Session() as sess:
    result2 = sess.run(product)
    print(result2)

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