new_contents: import os
  
  import tensorflow as tf
  import tflearn
  from tensorflow.contrib.session_bundle import exporter
  
  from train import MODEL_NAME, MODEL_PATH, resnet
  
  pjoin = os.path.join
  
  
  def export_model(path):
      net = resnet()
      g = net.graph
      X = g.get_operation_by_name('InputData/X')
      saver = tf.train.Saver()
      with tf.Session() as sess:
          model = tflearn.DNN(net, session=sess)
          # model.load(pjoin(MODEL_PATH, MODEL_NAME))
          saver.restore(sess, pjoin(MODEL_PATH, MODEL_NAME))
          model_exporter = exporter.Exporter(saver)
          model_exporter.init(
              sess.graph.as_graph_def(),
              named_graph_signatures={
                  'inputs': exporter.generic_signature({'x': X}),
                  'outputs': exporter.generic_signature({'y': net})})
          model_exporter.export(path, tf.constant(200), sess)
          print 'Successfully exported model to %s' % path
  
  
  if __name__ == '__main__':
      export_model('export')
  
subject: add export model