使用不带参数的 saver 来保存整个模型.

Use saver with no arguments to save the entire model.

tf.reset_default_graph()
v1 = tf.get_variable("v1", [3], initializer = tf.initializers.random_normal)
v2 = tf.get_variable("v2", [5], initializer = tf.initializers.random_normal)
saver = tf.train.Saver()

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    saver.save(sess, save_path='./test-case.ckpt')

    print(v1.eval())
    print(v2.eval())
saver = None

v1 = [ 2.1882825   1.159807   -0.26564872]
v2 = [0.11437789 0.5742971 ]

然后在要恢复到某些值的模型中，将要恢复的变量名称列表或 {"variable name": variable} 字典传递给 Saver>.

Then in the model you want to restore to certain values, pass a list of variable names you want to restore or a dictionary of {"variable name": variable} to the Saver.

tf.reset_default_graph()
b1 = tf.get_variable("b1", [3], initializer= tf.initializers.random_normal)
b2 = tf.get_variable("b2", [3], initializer= tf.initializers.random_normal)
saver = tf.train.Saver(var_list={'v1': b1})

with tf.Session() as sess:
  saver.restore(sess, "./test-case.ckpt")
  print(b1.eval())
  print(b2.eval())

INFO:tensorflow:Restoring parameters from ./test-case.ckpt
b1 = [ 2.1882825   1.159807   -0.26564872]
b2 = FailedPreconditionError: Attempting to use uninitialized value b2