grad_outputs->push_back(NoGradient());
        return scope.status();
      },
      grad_outputs);
}

REGISTER_GRADIENT_OP("FusedBatchNormV3", FusedBatchNormV3Grad);

Status Conv2DBackpropInputGrad(const Scope& scope, const Operation& op,
                               const std::vector<Output>& grad_inputs,
                               std::vector<Output>* grad_outputs) {
  if (op.num_inputs() != 3) {

                       ::testing::Values(TensorShape({2, 3, 4, 5}),
                                         TensorShape({2, 3, 2, 2, 2}))));

TEST_F(NNGradTest, Conv2DBackpropInputGrad) {
  TensorShape shape({1, 2, 2, 1});
  TensorShape filter_shape({1, 1, 1, 1});
  auto out = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape));