code: def map_lrn(cls, node):
      params = node.parameters
      assert params.local_size % 2 == 1
      kwargs = {
          "size": int(params.local_size),
          "alpha": params.alpha,
          "beta": params.beta,
          "bias": params.k,
      }
      cls._convert_output_shape(kwargs, node)
      return Node.create("LRN", **kwargs)
  
imports: from __future__ import absolute_import
  from __future__ import division
  import numpy
  from mmdnn.conversion.caffe.errors import ConversionError
  from mmdnn.conversion.caffe.common_graph import Node
  from mmdnn.conversion.caffe.network import DEFAULT_PADDING
  from mmdnn.conversion.caffe.utils import get_lower_case
  from mmdnn.conversion.common.IR.graph_pb2 import TensorShape
label_desc: Use image node_id 16 for calling the NodeMapper obj's underlying member method code with example usage: obj.map_lrn(cls, node) and returns: Node