func.func @HardSwishPattern(%arg0: tensor<1xf32>) -> tensor<1xf32> {
  %three = arith.constant dense<3.> : tensor<f32>
  %six = arith.constant dense<0.1666666666666> : tensor<f32>
  %0 = "tfl.add"(%arg0, %three)  {fused_activation_function = "RELU6"}  : (tensor<1xf32>, tensor<f32>) -> tensor<1xf32>
  %1 = "tfl.mul"(%arg0, %0) {fused_activation_function = "NONE"} :  (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>

  %119 = "tf.StridedSlice"(%116, %16, %15, %16) {begin_mask = 0 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 1 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<1xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<0xi32>

  %0:2 = "tf.IdentityN"(%arg0, %arg1) : (tensor<1xi32>, tensor<1xf32>) -> (tensor<1xi32>, tensor<1xf32>)
  func.return %0#0, %0#1: tensor<1xi32>, tensor<1xf32>
}

// -----

// CHECK-LABEL: func @stopgradient
func.func @stopgradient(%arg0: tensor<1xi32>) -> tensor<1xi32> {
  // CHECK-NEXT:  return %arg0 : tensor<1xi32>
  %0 = "tf.StopGradient"(%arg0) : (tensor<1xi32>) -> tensor<1xi32>
  func.return %0: tensor<1xi32>

// CHECK:           %[[VAL_3:.*]] = "tf.LeftShift"(%[[VAL_1]], %[[VAL_0]]) : (tensor<4xi32>, tensor<1xi32>) -> tensor<4xi32>
// CHECK:           return %[[VAL_2]], %[[VAL_3]] : tensor<4xi32>, tensor<4xi32>
// CHECK:         }
func.func @broadcast_shift_left(%arg0: tensor<1xi32>, %arg1: tensor<4xi32>) -> (tensor<4xi32>, tensor<4xi32>) {