code: def LoadModel(sess, graph, gd_file, ckpt_file):
      """Load the model from GraphDef and AttackCheckpoint.
  
      Args:
        gd_file: GraphDef proto text file.
        ckpt_file: TensorFlow AttackCheckpoint file.
  
      Returns:
        TensorFlow session and tensors dict.
      """
      tf.get_logger().setLevel("INFO")
      with graph.as_default():
          sys.stderr.write("Recovering graph.\n")
          with tf.io.gfile.GFile(gd_file) as f:
              s = f.read()
              gd = tf.compat.v1.GraphDef()
              protobuf.text_format.Merge(s, gd)
  
          tf.compat.v1.logging.info("Recovering Graph %s", gd_file)
          t = {}
          [
              t["states_init"],
              t["lstm/lstm_0/control_dependency"],
              t["lstm/lstm_1/control_dependency"],
              t["softmax_out"],
              t["class_ids_out"],
              t["class_weights_out"],
              t["log_perplexity_out"],
              t["inputs_in"],
              t["targets_in"],
              t["target_weights_in"],
              t["char_inputs_in"],
              t["all_embs"],
              t["softmax_weights"],
              t["global_step"],
          ] = tf.import_graph_def(
              gd,
              {},
              [
                  "states_init",
                  "lstm/lstm_0/control_dependency:0",
                  "lstm/lstm_1/control_dependency:0",
                  "softmax_out:0",
                  "class_ids_out:0",
                  "class_weights_out:0",
                  "log_perplexity_out:0",
                  "inputs_in:0",
                  "targets_in:0",
                  "target_weights_in:0",
                  "char_inputs_in:0",
                  "all_embs_out:0",
                  "Reshape_3:0",
                  "global_step:0",
              ],
              name="",
          )
  
          sys.stderr.write("Recovering checkpoint %s\n" % ckpt_file)
          sess.run("save/restore_all", {"save/Const:0": ckpt_file})
          sess.run(t["states_init"])
  
      return t
  
label_desc: Use image node_id 1 for calling a global function with example usage: LoadModel(sess, graph, gd_file, ckpt_file) and returns: t