In [1]:

    

import tensorflow as tf
import numpy as np


    

In [2]:

    

# This works only once - to re-run, restart the Kernel first.
load_from = r'C:\Temp\tf_demo\ols.ckpt'
w = tf.Variable(np.ones([3, 1]), name='w')

with tf.Session() as sess:        
    saver = tf.train.Saver()
    saver.restore(sess, load_from)
    w_current = w.eval(session=sess)


    

    




INFO:tensorflow:Restoring parameters from C:\Temp\tf_demo\ols.ckpt

In [5]:

    

w_current = np.squeeze(w_current)


    

In [6]:

    

w_current


    

    
Out[6]:





array([ 2.,  3.,  5.])