tensorflow saver

# -*- coding: utf-8 -*-
"""
Created on Thu Sep  6 21:22:31 2018

@author: lc
"""
import tensorflow as tf
import numpy as np

#save
#remember to define the same dtype and shape when restore

#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.initialize_all_variables()
#
#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)
#    
#    
#restore
#remember to define the same dtype and shape when restore

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")

#no need to initstep when restore
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))