code: def proc_bn(self, idx, name, param):
      scale_factor = param[2].data[0]
      return {
          name + "/mean/EMA": param[0].data / scale_factor,
          name + "/variance/EMA": param[1].data / scale_factor,
      }
  
file_path: tensorpack/tensorpack/utils/loadcaffe.py
imports: import numpy
  import os
  import sys
  from .None import logger
  from .concurrency import subproc_call
  from .fs import download, get_dataset_path
  from .utils import change_env
label_desc: Use image node_id 5 for calling the CaffeLayerProcessor obj's underlying member method code with example usage: obj.proc_bn(idx, name, param) and returns: dict