在tensorflow中保存一些变量

import tensorflow as tf

# 假设有两个变量需要保存
var1 = tf.Variable(2, name='var1')
var2 = tf.Variable(3, name='var2')

# 初始化变量
init = tf.global_variables_initializer()

# 创建Saver对象
saver = tf.train.Saver()

with tf.Session() as sess:
    # 运行变量初始化操作
    sess.run(init)
    
    # 保存变量
    saver.save(sess, 'path/to/save/model.ckpt')

import tensorflow as tf

# 假设有两个变量需要恢复
var1 = tf.Variable(0, name='var1')
var2 = tf.Variable(0, name='var2')

# 创建Saver对象
saver = tf.train.Saver()

with tf.Session() as sess:
    # 运行变量初始化操作
    sess.run(tf.global_variables_initializer())
    
    # 恢复变量
    saver.restore(sess, 'path/to/save/model.ckpt')
    
    # 打印恢复的变量值
    print('var1:', sess.run(var1))
    print('var2:', sess.run(var2))