In [1]:
import tensorflow as tf
print(tf.__version__)
In [2]:
w = tf.Variable(40,dtype=tf.float32, name="w")
param_list = [w]
saver = tf.train.Saver(param_list)
a = tf.placeholder(dtype=tf.float32, name="a")
In [3]:
sess = tf.Session()
In [4]:
saver.restore(sess, "./chkp_save/ex01")
result = sess.run(tf.add(w,a), feed_dict={a: 100})
print(result)
sess.close()
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