tf_checkpoint_14.py

import tensorflow as tf

session = tf.Session()

for item in tf.get_default_graph().get_operations():
    print(item)
print(50*'-')
model = tf.saved_model.loader.load(sess=session,
                                   tags=[tf.saved_model.tag_constants.SERVING],
                                   export_dir='./test/')
print(50*'-')
for item in tf.get_default_graph().get_operations():
    print(item)