func.func @cast_op_qint8_int8(%arg0: tensor<1x!tf_type.qint8>) -> tensor<1xi8> {
  // CHECK: "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<1xi8>) -> tensor<1xi8>
  %0 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<1x!tf_type.qint8>) -> tensor<1xi8>
  func.return %0: tensor<1xi8>
}

// -----

// CHECK-LABEL: func @cast_op_int8_qint8
func.func @cast_op_int8_qint8(%arg0: tensor<1xi8>) -> tensor<1x!tf_type.qint8> {

}

// CHECK-LABEL: @cast_i32_to_ui8
func.func @cast_i32_to_ui8() -> tensor<6xui8> {
  %cst = arith.constant dense<[0, -1, 256, 127, -128, -129]> : tensor<6xi32>
  %0 = "tfl.cast"(%cst) : (tensor<6xi32>) -> tensor<6xui8>
  func.return %0 : tensor<6xui8>

// CHECK: %[[CST:.*]] = arith.constant dense<[0, 255, 0, 127, 128, 127]> : tensor<6xui8>
// CHECK:  return %[[CST]]
}

// CHECK-LABEL: @cast_ui8_to_i8

  func.return %0 : tensor<!tf_type.string>
}

func.func @uint8() -> tensor<4xui8> {
  // CHECK-LABEL: @uint8
  // CHECK: value = dense<[222, 173, 190, 239]> : tensor<4xui8>
  %0 = "tfl.pseudo_const"() {value = dense<[222, 173, 190, 239]> : tensor<4xui8>} : () -> tensor<4xui8>
  func.return %0 : tensor<4xui8>
}

func.func @int4() -> tensor<5xi4> {
  // CHECK-LABEL: @int4

func.func @shift_right_unsigned(%arg0: tensor<4xui8>, %arg1: tensor<4xui8>) -> tensor<4xui8> {
  // CHECK:  mhlo.shift_right_logical %arg0, %arg1 : tensor<4xui8>
  %0 = "tf.RightShift"(%arg0, %arg1) : (tensor<4xui8>, tensor<4xui8>) -> tensor<4xui8>
  func.return %0 : tensor<4xui8>
}

// CHECK-LABEL: func @broadcast_shift_right_unsigned
func.func @broadcast_shift_right_unsigned(%arg0: tensor<4xui8>, %arg1: tensor<2x4xui8>) -> tensor<2x4xui8> {

  func.return %0 : tensor<!tf_type.string>
}

func.func @uint8() -> tensor<4xui8> {
  // CHECK-LABEL: @uint8
  // CHECK: value = dense<[222, 173, 190, 239]> : tensor<4xui8>
  %0 = "tfl.pseudo_const"() {value = dense<[222, 173, 190, 239]> : tensor<4xui8>} : () -> tensor<4xui8>
  func.return %0 : tensor<4xui8>
}

func.func @int4() -> tensor<5xi4> {
  // CHECK-LABEL: @int4

}

// -----

// CHECK-LABEL: func @convolution_add_add_i8
func.func @convolution_add_add_i8(
    %lhs: tensor<?x3x2x1xi8>, %rhs: tensor<2x1x1x1xi8>,
    %zp_offset: tensor<?x2x2x1xi8>, %bias: tensor<1xi8>
  ) -> tensor<?x2x2x1xi8> {
  // CHECK-DAG: %[[conv:.*]] = mhlo.convolution
  // CHECK-DAG: %[[combined:.*]] = chlo.broadcast_add %[[zp_offset:.*]], %[[bias:.*]]

      %outputs_81, %control_82 = tf_executor.island wraps "tf.StridedSlice"(%outputs_79, %outputs_43, %outputs_45, %outputs_47) {begin_mask = 1 : i64, device = "/device:CPU:0", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<*xui8>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<*xui8>

    %11 = stablehlo.reshape %2 : (tensor<1x1x1x1xi8>) -> tensor<1xi8>
    %12 = stablehlo.broadcast_in_dim %11, dims = [0] : (tensor<1xi8>) -> tensor<1x3x3x4xi8>
    %13 = stablehlo.convert %12 : (tensor<1x3x3x4xi8>) -> tensor<1x3x3x4xf32>
    %14 = stablehlo.convert %3 : (tensor<3x3x4x4xi8>) -> tensor<3x3x4x4xf32>