const auto zero = Const<float>(scope_, 0.0);
    const auto y = DivNoNan(scope_, x, zero);

    std::vector<Output> grad_outputs;
    TF_EXPECT_OK(AddSymbolicGradients(scope_, {y}, {x}, &grad_outputs));
    ClientSession session(scope_);
    std::vector<Tensor> grad_result;
    TF_EXPECT_OK(
        session.Run({{x, {-3.0f, 0.0f, 3.0f}}}, grad_outputs, &grad_result));
    EXPECT_EQ(grad_result.size(), 1);