Basic Operation of TensorFlow

from __future__ import print_function
import tensorflow as tf

# 基本常量操作
a = tf.constant(2)
b = tf.constant(3)
with tf.Session() as sess:
    print("a=2,b=3")
    print("常量相加：%i"%sess.run(a+b))
    print("常量相乘：%i"%sess.run(a*b))
a = tf.placeholder(tf.int16)
b = tf.placeholder(tf.int16)
add = tf.add(a,b)
mul = tf.multiply(a,b)
with tf.Session() as sess:
    print("变量相加：%i"%sess.run(add,feed_dict={a:2, b:6}))
    print("变量相乘：%i"%sess.run(mul,feed_dict={a:11, b:111}))

# 矩阵乘法
matrix1=tf.constant([[3., 3.]])
matrix2=tf.constant([[2.], [2.]])
product = tf.matmul(matrix1, matrix2)
with tf.Session() as sess:
    result = sess.run(product)
    print(result)
    
# Hello Tensorflow
hello = tf.constant("Hello,Tensorflow")
sess = tf.Session()
print(sess.run(hello))