import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
input1 = tf.placeholder(tf.float32,[1,2])
input2 = tf.placeholder(tf.float32,[2,1])
#在Tensorflow中需要定义placeholder的type,一般为float32形式
input1 = tf.placeholder(tf.float32,[2,2])
input2 = tf.placeholder(tf.float32,[2,2])
#mul=multiply是将input1和input2做乘法运算，并输出为output
output = tf.multiply(input1,input2)#点对点相乘
output1 = tf.matmul(input1,input2)#矩阵相乘
with tf.Session() as sess:
print(sess.run(output,feed_dict={input1:[[2,3],[4,5]],input2:[[2,3],[4,5]]}))
print(sess.run(output1,feed_dict={input1:[[2,3],[4,5]],input2:[[2,3],[4,5]]}))
#mul=multiply是将input1和input2做乘法运算，并输出为output
output = tf.multiply(input1,input2)#点对点相乘
output1 = tf.matmul(input1,input2)#矩阵相乘
with tf.Session() as sess:
print(sess.run(output,feed_dict={input1:[[2,3]],input2:[[2],[4]]}))
print(sess.run(output1,feed_dict={input1:[[2,3]],input2:[[2],[4]]}))
