code: def _copy_and_reop(source_node, IR_node, new_op=None):
      IR_node.name = source_node.name.lstrip("_")
      IR_node.op = source_node.type if new_op == None else new_op
  
      if hasattr(source_node.layer, "dtype"):
          IR_node.attr["dtype"].type = PaddleParser.dtype_map[
              source_node.layer.dtype
          ]
  
imports: from __future__ import absolute_import
  import os
  import gzip
  from six import string_types
  import paddle.v2
  import paddle.trainer_config_helpers.layers
  import numpy
  from mmdnn.conversion.paddle.paddle_graph import PaddleGraph
  import mmdnn.conversion.common.IR.graph_pb2
  from mmdnn.conversion.common.IR.graph_pb2 import NodeDef, GraphDef, DataType
  from mmdnn.conversion.common.DataStructure.parser import Parser
  from mmdnn.conversion.common.utils import *
label_desc: Use image node_id 6 for calling the PaddleParser obj's underlying member method code with example usage: obj._copy_and_reop(source_node, IR_node, new_op) without return types