yukaliu07

check vnect_model.py in the models folder. There's a function called "load_weights" and you could use saver.save to get vnect_tf.

@lavage `with tf.Session() as sess: saver = tf.train.Saver() model.load_weights(sess, model_file) save_path = saver.save(sess, "./vnect_tf")`