class_docstr: Adapt Caffe prototxt and weights into uniform format
class_docstr_tok: ["Adapt","Caffe","prototxt","and","weights","into","uniform","format"]
code: def _get_layer_parameters(raw_layer):
      convert_name = raw_layer.type.lower() + "param"
      for descriptor, attr in raw_layer.ListFields():
          if descriptor.name.lower().replace("_", "") == convert_name:
              return attr
      return None
  
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 8 for calling the CaffeAdapter obj's underlying member method code with example usage: obj._get_layer_parameters(raw_layer) and returns: None, attr