Tensorflow:tf.flags的用法

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tf.flags是用来设置参数的，以便后面的程序用到，感觉跟变量的作用是一样的。

# coding: utf-8import tensorflow as tf# define flagstf.flags.DEFINE_integer("age", 17, "age of user(default:20)")tf.flags.DEFINE_boolean("drink_allow", False, "if can drink or not(default:False)")tf.flags.DEFINE_float("weight", 55.55, "weight of user(default:55.55kg)")tf.flags.DEFINE_string("name", "Lilei", "name of user(default:Lilei)")FLAGS = tf.flags.FLAGS  #init flagsFLAGS._parse_flags()  # parse flags# get flagsfor attr,value in FLAGS.__flags.items():    print("attr:%s\tvalue:%s" % (attr,str(value)))

attr:name value:Lilei
attr:weight value:55.55
attr:age value:17
attr:drink_allow value:False

FLAGS.name = 'zhangshan'# get flagsfor attr,value in FLAGS.__flags.items():    print("attr:%s\tvalue:%s" % (attr,str(value)))

attr:name value:zhangshan
attr:drink_allow value:False
attr:age value:17
attr:weight value:55.55

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