Problem when restoring the trained model : FailedPreconditionError :Attempting to use uninitialized value count_warning

[mohamad-hoseini]

I have successfully trained a model and want to convert the last checkpoint model ( .meta, .index outptuts) to frozen model (.pb file).

with tf.Session(config=tf.ConfigProto(allow_soft_placement=True, log_device_placement=True)) as sess:
    sess.run(tf.global_variables_initializer())
    # Restore the graph
    saver = tf.train.import_meta_graph(meta_path)

    # Load weights
    saver.restore(sess,tf.train.latest_checkpoint('/home/master/small_dt'))
    output_node_names = [n.name for n in tf.get_default_graph().as_graph_def().node]
    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())
    graph_io.write_graph(frozen, './', 'inference_graph.pb', as_text=False)

everytime i run my code. There seems to be a problem with the model when trying to restore it. The variable "count_warning" - which seems to be an output node - is not initialized.

How can i fix this issue?!