class_docstr: Setup Caffe parameters into CNTK format
class_docstr_tok: ["Setup","Caffe","parameters","into","CNTK","format"]
docstr:  The batch normalization parameter setup from Caffe to CNTK
  
  Args:
      caffe_parameters (:class:`caffe.Parameters`): the parameters of Caffe
      inputs_info ('class':`cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkTensorDefinition`):
          The input information of current layer
      cntk_layer_def ('class':`cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkLayersDefinition`):
          The converted definition of CNTK layers
  
  Return:
      None
docstr_tok: ["The","batch","normalization","parameter","setup","from","Caffe","to","CNTK","Args",":","caffe_parameters","(",":","class",":","`","caffe.Parameters","`",")",":","the","parameters","of","Caffe","inputs_info","(","'class","'",":","`","cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkTensorDefinition","`",")",":","The","input","information","of","current","layer","cntk_layer_def","(","'class","'",":","`","cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkLayersDefinition","`",")",":","The","converted","definition","of","CNTK","layers","Return",":","None"]
code: def batch_norm(caffe_parameters, inputs_info, cntk_layer_def):
      """
       The batch normalization parameter setup from Caffe to CNTK
  
      Args:
          caffe_parameters (:class:`caffe.Parameters`): the parameters of Caffe
          inputs_info ('class':`cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkTensorDefinition`):
              The input information of current layer
          cntk_layer_def ('class':`cntk.contrib.crosstalkcaffe.unimodel.cntkmodel.CntkLayersDefinition`):
              The converted definition of CNTK layers
  
      Return:
          None
      """
      cntk_layer_def.parameters = cntkmodel.CntkBatchNormParameters()
      cntk_layer_def.parameters.epsilon = caffe_parameters.eps
      SetupCaffeParameters.default(
          caffe_parameters, inputs_info, 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 4 for calling the SetupCaffeParameters obj's underlying member method code with example usage: obj.batch_norm(caffe_parameters, inputs_info, cntk_layer_def) without return types