class_docstr: Adapt Caffe prototxt and weights into uniform format
class_docstr_tok: ["Adapt","Caffe","prototxt","and","weights","into","uniform","format"]
code: def _try_special_case_wrapper(self, raw_layer):
      layer_parameter = self._get_layer_parameters(raw_layer)
      cntk_layer_type = None
      if raw_layer.type == "Eltwise":
          operate_name = self._caffe_pb2.EltwiseParameter.EltwiseOp.DESCRIPTOR.values_by_number[
              layer_parameter.operation
          ].name
          layer_type = "_".join((raw_layer.type, operate_name))
          cntk_layer_type = caffeimpl.CAFFE_LAYER_WRAPPER[layer_type]
      return cntk_layer_type
  
imports: import sys
  import os
  import time
  import math
  from cntk.contrib.crosstalkcaffe.unimodel import cntkmodel
  from cntk.contrib.crosstalkcaffe.adapter import baseadapter
  from .None import caffeimpl
label_desc: Use image node_id 9 for calling the CaffeAdapter obj's underlying member method code with example usage: obj._try_special_case_wrapper(raw_layer) and returns: cntk_layer_type