TensorFlow 0.12 Model Files

Question

I train a model and save it using:

saver = tf.train.Saver()
saver.save(session, \'./my_model_name\')

Besides the checkpoint file,

Answer 1

I'm currently struggling with this myself, I've found it's not very straightforward to do currently. The two most commonly cited tutorials on the subject are: https://medium.com/jim-fleming/loading-a-tensorflow-graph-with-the-c-api-4caaff88463f#.goxwm1e5j and https://medium.com/@hamedmp/exporting-trained-tensorflow-models-to-c-the-right-way-cf24b609d183#.g1gak956i

The equivalent of

new_saver = tf.train.import_meta_graph('./my_model_name.meta')
new_saver.restore(session, './my_model_name')

Is just

Status load_graph_status = LoadGraph(graph_path, &session);

Assuming you've "frozen the graph" (Used a script with combines the graph file with the checkpoint values). Also, see the discussion here: Tensorflow Different ways to Export and Run graph in C++