code: def convert_LocalResponseNormalization(
      func, opset_version, input_names, output_names, context
  ):
      size = int(func.n)
      return (
          onnx_helper.make_node(
              "LRN",
              input_names,
              output_names,
              alpha=float(func.alpha) * size,
              beta=float(func.beta),
              bias=float(func.k),
              size=size,
          ),
      )
  
file_path: chainer/onnx_chainer/functions/normalization.py
imports: import sys
  import chainer
  import numpy
  from onnx_chainer.functions.array import get_slice_node
  from onnx_chainer.functions.opset_version import support
  from onnx_chainer import onnx_helper
label_desc: Use image node_id 4 for calling a global function with example usage: convert_LocalResponseNormalization(func, opset_version, input_names, output_names, context) and returns: onnx_helper