code: def _SeluGradGrad(op: ops.Operation, grad):
      selu_x = op.inputs[1]
      return (
          gen_nn_ops.selu_grad(grad, selu_x),
          array_ops.where(
              selu_x < 0.0,
              grad * op.inputs[0],
              array_ops.zeros_like(selu_x),
          ),
      )
  
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 20 for calling a global function with example usage: _SeluGradGrad(op, grad) and returns: gen_nn_ops,  array_ops