Problem with frozen pb

[jsn5]

I trained the model with a custom dataset and got the checkpoint files. I froze the model using this script

import tensorflow as tf
def freeze_graph(model_dir, output_node_names, frozen_graph_name):
    if not tf.gfile.Exists(model_dir):
        raise AssertionError(
            "Export directory doesn't exists. Please specify an export "
            "directory: %s" % model_dir)

    if not output_node_names:
        print("You need to supply the name of a node to --output_node_names.")
        return -1

    # We retrieve our checkpoint fullpath
    checkpoint = tf.train.get_checkpoint_state(model_dir)
    input_checkpoint = checkpoint.model_checkpoint_path

    # We precise the file fullname of our freezed graph
    absolute_model_dir = "/".join(input_checkpoint.split('/')[:-1])
    output_graph = absolute_model_dir + "/" + frozen_graph_name + ".pb"

    # We clear devices to allow TensorFlow to control on which device it will load operations
    clear_devices = True

    # We start a session using a temporary fresh Graph
    with tf.Session(graph=tf.Graph()) as sess:
        # We import the meta graph in the current default Graph
        saver = tf.train.import_meta_graph(input_checkpoint + '.meta', clear_devices=clear_devices)

        # We restore the weights
        saver.restore(sess, input_checkpoint)
        gd = sess.graph.as_graph_def()
        # We use a built-in TF helper to export variables to constants
        output_graph_def = tf.graph_util.convert_variables_to_constants(
            sess,  # The session is used to retrieve the weights
            gd,  # The graph_def is used to retrieve the nodes
            output_node_names.split(",")  # The output node names are used to select the usefull nodes
        )

        # Finally we serialize and dump the output graph to the filesystem
        with tf.gfile.GFile(output_graph, "wb") as f:
            f.write(output_graph_def.SerializeToString())
        print("%d ops in the final graph." % len(output_graph_def.node))

    return output_graph_def

freeze_graph('./checkpoint','SparseToDense','ocr.pb')

But when I'm loading the graph from the protobuf file, I'm getting this error:

ValueError: Input 0 of node import/cnn/unit-4/bn4/BatchNorm/AssignMovingAvg/cnn/unit-4/bn4/BatchNorm/moving_mean/AssignAdd was passed float from import/cnn/unit-4/bn4/BatchNorm/cnn/unit-4/bn4/BatchNorm/moving_mean/local_step:0 incompatible with expected float_ref.

I know this is a little off topic but any help is appreciated.

[caiya55]

Did you find any solution?