// CHECK: %[[MUL:.*]] = tfl.mul %arg0, %[[BROADCAST_TO]] {fused_activation_function = "NONE"} : tensor<8x7x6x5x4x3x2x1xf32>
  // CHECK: return %[[MUL]] : tensor<8x7x6x5x4x3x2x1xf32>
}

func.func @mul_with_high_dims_dynamic_shape_both_sides(%arg0: tensor<8x7x6x5x?x3x2x1xf32>, %arg1: tensor<?x3x2x1xf32>) -> tensor<8x7x6x5x?x3x2x1xf32> {

  // CHECK: tfl.mul %arg0, %arg1 {fused_activation_function = "RELU6"}
  %0 = tfl.mul %arg0, %arg1 {fused_activation_function = "RELU6"} : tensor<? x i16>
  func.return %0#0 : tensor<? x i16>
}

// CHECK-LABEL: testMulComplex
func.func @testMulComplex(tensor<? x complex<f32>>, tensor<? x complex<f32>>) -> tensor<? x complex<f32>> {
^bb0(%arg0: tensor<? x complex<f32>>, %arg1: tensor<? x complex<f32>>):

        %add_out, %add_control = tf_executor.island wraps "tf.Add"(%arg2, %arg3) : (tensor<f32>, tensor<f32>) -> tensor<f32>
        %mul_out, %mul_control = tf_executor.island wraps "tf.Mul"(%arg2, %arg3) : (tensor<f32>, tensor<f32>) -> tensor<f32>
        %barrier = tf_executor.island(%assign_0_control, %assign_1_control, %add_control, %mul_control) wraps "tf.NoOp"() : () -> ()

class OperandsSameElementTypeConstraintBase<string op> :
  PredOpTrait<op # " operands have same element type",
    OperandsSameElementTypeConstraintBasePred>;

// This is a constraint for most of the binary ops, e.g., add, mul, div, etc.
// Binary ops lhs & rhs should have the same value type, and is capable to
// compare quantization types as well.
def BinaryOpSameElementTypeConstraint :
  OperandsSameElementTypeConstraintBase<"binary op">;

			expected: []metav1.TableRow{{Cells: []interface{}{"test5", "LoadBalancer", "10.9.8.7", "3.4.5.6,80.11.12.10", "8888/tcp", "<unknown>"}}},
		},
		{
			// Test LoadBalancer service with mul ExternalIPs
			service: api.Service{
				ObjectMeta: metav1.ObjectMeta{Name: "test6"},
				Spec: api.ServiceSpec{
					Type: api.ServiceTypeLoadBalancer,
					Ports: []api.ServicePort{
						{