note:

if you‘ll load data,the data shape should be similar with saved data‘s shape. -- 中式英語，天下無敵

import tensorflow as tf
import numpy as np

# save variable data
W = tf.Variable([[2, 3], [3, 4]], dtype=tf.float32)
b = tf.Variable([[3, 4]], dtype=tf.float32)

init = tf.global_variables_initializer()
saver 
 
= tf.train.Saver()
with tf.Session() as sess:
    sess.run(init)
    saver_path = saver.save(sess, ‘templates/save_net.ckpt‘)
    print("save path in --", saver_path)


# load saved Variable‘s data
W = tf.Variable(np.arange(2).reshape((1, 2)), dtype=tf.float32)  # 2， 2）  二行兩列
b = tf.Variable(np.arange(2).reshape((2, 2)), dtype=tf.float32)  # (1, 2)  一行兩列
 


saver = tf.train.Saver()

with tf.Session() as sess:
    saver.restore(sess, ‘templates/save_net.ckpt‘)
    print("W: ", sess.run(W))
    print("b: ", sess.run(b))

tensorflow data's save and load