tensorflow 保存读取

tensorflow 保存读取

import tensorflow as tf
import numpy as np

# W = tf.Variable([[1,2,3],[3,4,5]], dtype=tf.float32, name='weights')
# b = tf.Variable([[1,2,3]], dtype=tf.float32, name='biases')
#
# init = tf.global_variables_initializer()
#
# saver = tf.train.Saver()
#
# with tf.Session() as sess:
#     sess.run(init)
#     save_path = saver.save(sess, "my_net/save_net.ckpt")
#     print(save_path)



W = tf.Variable(np.arange(6).reshape((2,3)), dtype=tf.float32, name="weights")
b = tf.Variable(np.arange(3).reshape((1,3)), dtype=tf.float32, name="biases")

saver = tf.train.Saver()

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

​​https://morvanzhou.github.io/tutorials/machine-learning/tensorflow/5-06-save/​​​​http://www.waitingfy.com/archives/4976​​