tensorflow 0.12 save & load graph

load_graph.py

import tensorflow as tf
import numpy as np
import os

with tf.Session() as sess:
    md = "./models/"
    fgn = "model.ckpt"
    fgp = os.path.join(md, fgn)
    saver = tf.train.import_meta_graph(fgp + ".meta")
    saver.restore(sess, fgp)
    print sess.run('c:0')
    print sess.run('b:0')
    print sess.run('a:0')
    print sess.run('c:0', feed_dict = {'a:0': 10.0})

save_graph.py

import tensorflow as tf
import numpy as np
import os

with tf.Session() as sess:
    a = tf.Variable(5.0, name='a')
    b = tf.Variable(6.0, name='b')
    c = tf.multiply(a, b, name="c")

    sess.run(tf.global_variables_initializer())

    print a
    print b
    print c
    #print a.eval() # 5.0
    #print b.eval() # 6.0
    #print c.eval() # 30.0
    #ogn = "graph.pb"
    #md = "./models/"
    #tf.train.write_graph(sess.graph_def, md, ogn, as_text=False)

    md = "./models/"
    fgn = "model.ckpt"

    saver = tf.train.Saver()
    saver.save(sess, os.path.join(md, fgn), meta_graph_suffix='meta', write_meta_graph=True)