code: def export_module_spec_with_checkpoint(module_spec,
                                         checkpoint_path,
                                         export_path,
                                         scope_prefix=""):
    
  
    # The main requirement is that it is possible to know how to map from
    # module variable name to checkpoint variable name.
    # This is trivial if the original code used variable scopes,
    # but can be messy if the variables to export are interwined
    # with variables not export.
    with tf.Graph().as_default():
      m = hub.Module(module_spec)
      assign_map = {
          scope_prefix + name: value for name, value in m.variable_map.items()
      }
      tf.train.init_from_checkpoint(checkpoint_path, assign_map)
      init_op = tf.initializers.global_variables()
      with tf.Session() as session:
        session.run(init_op)
        m.export(export_path, session)
docs: Exports given checkpoint as tfhub module with given spec.