code: def _LRNGrad(op: ops.Operation, grad):
      depth_radius = op.get_attr("depth_radius")
      bias = op.get_attr("bias")
      alpha = op.get_attr("alpha")
      beta = op.get_attr("beta")
      return [
          gen_nn_ops.lrn_grad(
              grad,
              op.inputs[0],
              op.outputs[0],
              depth_radius,
              bias,
              alpha,
              beta,
          )
      ]
  
imports: import functools
  import itertools
  import operator
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 38 for calling a global function with example usage: _LRNGrad(op, grad) and returns: list