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')
#
# init = tf.global_variables_initializer()
#
# saver = tf.train.Saver()
#
# with tf.Session() as sess:
# sess.run(init)
# save_path = saver.save(sess, "my_net/save_net.ckpt")
# print(save_path)
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")
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))https://morvanzhou.github.io/tutorials/machine-learning/tensorflow/5-06-save/
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