Tensorflow: How to convert .meta, .data and .index model files into one graph.pb file

You can use this simple script to do that. But you must specify the names of the output nodes.

import tensorflow as tf

meta_path="model.ckpt-22480.meta" # Your .meta file
output_node_names = ['output:0']    # Output nodes

with tf.Session() as sess:
    # Restore the graph
    saver = tf.train.import_meta_graph(meta_path)

    # Load weights
    saver.restore(sess,tf.train.latest_checkpoint('path/of/your/.meta/file'))

    # Freeze the graph
    frozen_graph_def = tf.graph_util.convert_variables_to_constants(
        sess,
        sess.graph_def,
        output_node_names)

    # Save the frozen graph
    with open('output_graph.pb', 'wb') as f:
      f.write(frozen_graph_def.SerializeToString())

If you don’t know the name of the output node or nodes, there are two ways

  1. You can explore the graph and find the name with Netron or with console summarize_graph utility.

  2. You can use all the nodes as output ones as shown below.

output_node_names = [n.name for n in tf.get_default_graph().as_graph_def().node]

(Note that you have to put this line just before convert_variables_to_constants call.)

But I think it’s unusual situation, because if you don’t know the output node, you cannot use the graph actually.

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