code: def TranslateLRN(layer, pretrained_blobs, is_test, **kwargs):
      caffe_op = BaseTranslate(layer, "LRN")
      caffe_op.output.extend(["_" + caffe_op.output[0] + "_scale"])
      param = layer.lrn_param
      if param.norm_region != caffe_pb2.LRNParameter.ACROSS_CHANNELS:
          raise ValueError(
              "Does not support norm region other than across channels."
          )
      AddArgument(caffe_op, "size", int(param.local_size))
      AddArgument(caffe_op, "alpha", float(param.alpha))
      AddArgument(caffe_op, "beta", float(param.beta))
      AddArgument(caffe_op, "bias", float(param.k))
      AddArgument(caffe_op, "order", "NCHW")
      return caffe_op, []
  
imports: import argparse
  import copy
  import logging
  import re
  import numpy
  from caffe2.proto import caffe2_pb2, caffe2_legacy_pb2
  from caffe.proto import caffe_pb2
  from caffe2.python import core, utils, workspace
  from google.protobuf import text_format
label_desc: Use image node_id 24 for calling a global function with example usage: TranslateLRN(layer, pretrained_blobs, is_test) and returns: caffe_op,  list