tensorflow的数据操作

淩亂°似流年 2021-11-26 10:06 270阅读 0赞

1，tensorflow的常量变量操作：

import tensorflow as tf
    #常量的定义
    data1 = tf.constant(2,dtype=tf.int32)
    #变量的定义
    data2 = tf.Variable(10,name='var')
    print(data1)
    print(data2)
    '''
    #在会话中启动图
    sess = tf.Session()
    
    #计算张量“c”
    print(sess.run(data1)) #静态数据打印
    
    #变量必须要这样初始化
    #对变量进行初始化，真正的赋值操作
    init = tf.global_variables_initializer()
    sess.run(init)
    
    print(sess.run(data2))
    sess.close()
    # 本质 tf = tensor + 计算图
    # tensor 数据
    # op 
    # graphs 数据操作
    # session
    '''
    init = tf.global_variables_initializer()
    sess = tf.Session()
    with sess:
        sess.run(init)
        print(sess.run(data2))

2，tensorflow常量的四则运算：

import tensorflow as tf
    data1 = tf.constant(6)
    data2 = tf.constant(2)
    dataAdd = tf.add(data1,data2)
    dataMul = tf.multiply(data1,data2)
    dataSub = tf.subtract(data1,data2)
    dataDiv = tf.divide(data1,data2)
    with tf.Session() as sess:
        print(sess.run(dataAdd))
        print(sess.run(dataMul))
        print(sess.run(dataSub))
        print(sess.run(dataDiv))
    print('end!')

3，变量和常量的四则运算：

import tensorflow as tf
    data1 = tf.constant(6)
    data2 = tf.Variable(2)
    dataAdd = tf.add(data1,data2)
    dataCopy = tf.assign(data2,dataAdd)# dataAdd ->data2
    dataMul = tf.multiply(data1,data2)
    dataSub = tf.subtract(data1,data2)
    dataDiv = tf.divide(data1,data2)
    init = tf.global_variables_initializer()
    with tf.Session() as sess:
        sess.run(init)
        print(sess.run(dataAdd))
        print(sess.run(dataMul))
        print(sess.run(dataSub))
        print(sess.run(dataDiv))
        print('sess.run(dataCopy)',sess.run(dataCopy))#8->data2
        print('dataCopy.eval()',dataCopy.eval())#8+6->14->data = 14
        print('tf.get_default_session()',tf.get_default_session().run(dataCopy))
    print('end!')