# -*- coding:utf-8 -*- import tensorflow as tf # 变量 x = tf.Variable([1, 2]) # 定义变量 a = tf.constant([3, 3]) # 定义常量 sub = tf.subtract(x, a) # 减法op add = tf.add(x, sub) # 加法op init = tf.global_variables_initializer() # 初始化所有变量 with tf.Session() as sess: sess.run(init) print(sess.run(sub)) print(sess.run(add)) # 变量递增 m1 = tf.Variable(0) # 定义一个变量 初始化为0 m2 = tf.add(m1, 1) # 变量加1 m3 = tf.assign(m1, m2) # 变量赋值 init = tf.global_variables_initializer() # 初始化所有变量 with tf.Session() as sess: sess.run(init) print(sess.run(m1)) for _ in range(6): sess.run(m3) # 调用赋值op print(sess.run(m1))
tensorflow入门学习笔记 4.变量
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