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")
saver=tf.train.Saver()
with tf.Session() as sess:
? ? sess.run(init)
? ? save_path=saver.save(sess,"my_net/save_net.ckpt")
? ? print("Save to path:",save_path)
w=tf.Variable(np.arane(6).reshape(（2,3)陪踩，dtype=tf.float32,name="weights")
b=tf.Variable(np.arange(3),reshape((1,3)),dtype=tf.float32,name="biases")
save=tf.train.Saver()
with tf.Session() as sess:
? ? ?saver.restore(sess,"my_set/save_net.ckpt")
? ? ?print("weight",sess.run(w))
? ? ?print("biases",sess.run(b))
