tf.set_random_seed np.random.seed

import tensorflow as tf
import numpy as np

a = tf.random_normal([1])

with tf.Session() as sess2:
    tf.set_random_seed(1234)
    print(sess2.run(a))
    print(sess2.run(a))

with tf.Session() as sess2:
    tf.set_random_seed(1234)
    print(sess2.run(a))
    print(sess2.run(a))

#[1.2800848]
#[0.19427519]
#[0.97334963]
#[1.4822826]

#[-1.2332402]
#[-0.4761824]
#[-0.58630925]
#[-1.9449654]

# tf.set_random_seed 要放在sess.run的外面 构建图的时候

for i in range(0,5,1):
    np.random.seed(5)

    print(np.random.random())

np.random.seed(5)
for i in range(0,5,1):
    print(np.random.random())

#0.22199317109
#0.22199317109
#0.22199317109
#0.22199317109
#0.22199317109


#0.22199317109
#0.870732306177
#0.206719155339
#0.918610907938

#0.488411188795

#理解：

#random_seed生成了序列 生成random的时候按顺序读取

#如有问题欢迎指正