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> {

// RUN: stablehlo-quant-opt %s -verify-quant-legalization -split-input-file -verify-diagnostics | FileCheck %s

// CHECK-LABEL: func @legal_i8
func.func @legal_i8(%arg0: tensor<1xi8>) -> tensor<1xi8> {
  func.return %arg0: tensor<1xi8>
}

// -----

func.func @illegal_qint8(%arg0: tensor<1x!tf_type.qint8>) -> tensor<1x!tf_type.qint8> {
  // expected-error@+1 {{'func.return' op is illegal as it is a UQ op or contains uq/qint types}}

// CHECK: %[[BITCAST_CONVERT_0:.*]] = stablehlo.bitcast_convert %[[UQ]] : (tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<1xi8>
// CHECK: %[[BITCAST_CONVERT_1:.*]] = stablehlo.bitcast_convert %[[BITCAST_CONVERT_0]] : (tensor<1xi8>) -> tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>

}

// -----

// 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:.*]]

    %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>

    func.return %read : tensor<1xi8>
  }

  // CHECK-LABEL: do_not_infer_var_handle_op_when_custom_op_uses_it
  func.func @do_not_infer_var_handle_op_when_custom_op_uses_it() -> tensor<1xi8> {
    %cst = arith.constant dense<1> : tensor<1xi8>
    %0 = "tf.VarHandleOp"() {container = "", shared_name = "bar"} : () -> tensor<!tf_type.resource<tensor<*xi8>>>

// CHECK-SAME:                               %[[VAL_1:.*]]: tensor<1x4xi8>) -> tensor<1x4xi8> {
// CHECK:           %[[VAL_2:.*]] = "tf.BitwiseOr"(%[[VAL_0]], %[[VAL_1]]) : (tensor<1xi8>, tensor<1x4xi8>) -> tensor<1x4xi8>
// CHECK:           return %[[VAL_2]] : tensor<1x4xi8>
// CHECK:         }
func.func @bitwise_or_broadcast(%arg0: tensor<1xi8>, %arg1: tensor<1x4xi8>) -> tensor<1x4xi8> {

  %0 = "tfl.pseudo_qconst"() {qtype = tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1xi8>} : () -> tensor<1x!quant.uniform<i8:f32, 0.003:-128>>
  %1 = "tfl.pseudo_qconst"() {qtype = tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1xi8>} : () -> tensor<1x!quant.uniform<i8:f32, 0.003:-128>>

  func.return %0 : tensor<4xf64>
}

func.func @i8() -> tensor<4xi8> {
  // CHECK-LABEL: @i8
  // CHECK: value = dense<[1, 2, 3, 4]> : tensor<4xi8>
  %0 = "tfl.pseudo_const" () { value = dense<[1, 2, 3, 4]> : tensor<4xi8> } : () -> tensor<4xi8>
  func.return %0 : tensor<4xi8>
}

func.func @i16() -> tensor<4xi16> {
  // CHECK-LABEL: @i16

  func.return %0 : tensor<4xf64>
}

func.func @i8() -> tensor<4xi8> {
  // CHECK-LABEL: @i8
  // CHECK: value = dense<[1, 2, 3, 4]> : tensor<4xi8>
  %0 = "tfl.pseudo_const" () { value = dense<[1, 2, 3, 4]> : tensor<4xi8> } : () -> tensor<4xi8>
  func.return %0 : tensor<4xi8>
}

func.func @i16() -> tensor<4xi16> {
  // CHECK-LABEL: @i16