class_docstr: Adapt Caffe prototxt and weights into uniform format
class_docstr_tok: ["Adapt","Caffe","prototxt","and","weights","into","uniform","format"]
code: def _setup_cntk_layer_def(
      self, cntk_layer_type, raw_layer, inputs_info
  ):
      cntk_layer_def = cntkmodel.CntkLayersDefinition()
      cntk_layer_def.op_name = raw_layer.name
      cntk_layer_def.op_type = cntk_layer_type
      for input_info in inputs_info:
          cntk_layer_def.inputs.append(input_info.op_name)
      cntk_layer_def.outputs.append(raw_layer.name)
      getattr(SetupCaffeParameters, cntk_layer_type.name)(
          self._get_layer_parameters(raw_layer),
          inputs_info,
          cntk_layer_def,
      )
      return cntk_layer_def
  
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 10 for calling the CaffeAdapter obj's underlying member method code with example usage: obj._setup_cntk_layer_def(cntk_layer_type, raw_layer, inputs_info) and returns: cntk_layer_def