TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "data_format", &data_format));
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "padding", &padding));
  auto dx = MaxPoolGradV2(scope, op.input(0), op.output(0), grad_inputs[0],
                          op.input(1), op.input(2), padding,
                          MaxPoolGradV2::DataFormat(data_format));
  grad_outputs->push_back(dx);
  grad_outputs->push_back(NoGradient());
  grad_outputs->push_back(NoGradient());

      "MaxPool",
      "MaxPool3D",
      "MaxPool3DGrad",
      "MaxPool3DGradGrad",
      "MaxPoolGrad",
      "MaxPoolGradGrad",
      "MaxPoolGradGradV2",
      "MaxPoolGradV2",
      "MaxPoolV2",
      "Multinomial",
      "NextAfter",
      "NonMaxSuppressionV3",
      "NonMaxSuppressionV4",
      "ParallelDynamicStitch",
      "ParameterizedTruncatedNormal",

    Res<TF_IntOrFpTensor, [{Gradients of gradients w.r.t. the input to `max_pool`.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_MaxPoolGradV2Op : TF_Op<"MaxPoolGradV2", [Pure]> {
  let summary = "Computes gradients of the maxpooling function.";

  let arguments = (ins
    Arg<TF_IntOrFpTensor, [{The original input tensor.}]>:$orig_input,