code: def _defuse_activation(self, source_node):
      src_spec = source_node.layer
  
      IR_node = self.IR_graph.node.add()
      IR_node.name = source_node.real_name.lstrip("_") + "_activation"
      IR_node.op = PaddleParser.activation_map[
          src_spec.active_type.encode()
      ]
      IR_node.input.append(source_node.real_name.lstrip("_"))
  
      source_node.real_name = IR_node.name
      return IR_node
  
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 9 for calling the PaddleParser obj's underlying member method code with example usage: obj._defuse_activation(source_node) and returns: IR_node