// evaluated.
  Scope grad_scope = scope.WithControlDependencies(grad);
  auto y = ConjugateHelper(grad_scope, op.output(0));
  grad_outputs->push_back(internal::TanhGrad(grad_scope, y, grad));
  return grad_scope.status();
}
REGISTER_GRADIENT_OP("Tanh", TanhGrad);

Status AsinhGrad(const Scope& scope, const Operation& op,
                 const std::vector<Output>& grad_inputs,

func.func @tanhgrad_complex(%y : tensor<*xcomplex<f32>>, %dy: tensor<*xcomplex<f32>>) -> tensor<*xcomplex<f32>> {
  // CHECK-NOT: tf.TanhGrad
  %0 = "tf.TanhGrad"(%y, %dy) : (tensor<*xcomplex<f32>>, tensor<*xcomplex<f32>>) -> tensor<*xcomplex<f32>>

  func.return %0 : tensor<*xcomplex<f32>>
}

// CHECK-LABEL: func @ZerosLike_unranked
func.func @ZerosLike_unranked(%arg0: tensor<*xi32>) -> tensor<*xi32> {

            "TruncateMod", "Equal", "NotEqual", "Greater", "GreaterEqual",
            "Less", "LessEqual", "SigmoidGrad", "SoftplusGrad", "SoftsignGrad",
            "TanhGrad", "Pow", "SquaredDifference", "ApproximateEqual",
            // Others
            "AddN", "Bitcast", "Cast", "ClipByValue", "Const", "Empty",
            "Identity", "IdentityN", "Relu", "Relu6", "ReluGrad", "Relu6Grad",