import tensorflow as tf
matrix_1=tf.constant([[3,3]])#(1,2)矩阵
matrix_2=tf.constant([[2],[2]])
product=tf.matmul(matrix_1,matrix_2)#矩阵乘法,np中用np.dot() 3*2+3*2
#method 1
sess=tf.Session()
result=sess.run(product)#sess 指向product
print(result)
sess.close()#这步骤可写可不写 结果为[[12]]
#method 2
with tf.Session() as sess:#打开了Session ,以sess命名它
result_2= sess.run(product)
print(result_2)#Session自动close