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> {

    %cst_1 = "tfl.pseudo_qconst"() {qtype = tensor<1x20x!quant.uniform<i8:f32, 0.006:-34>>, value = dense<1> : tensor<1x20xi8>} : () -> tensor<1x20x!quant.uniform<i8:f32, 0.006:-34>>
    %cst_2 = "tfl.no_value"() {value = unit} : () -> none

// Valid slice operation.
func.func @testSlice(%arg0: tensor<3x4xi32>, %arg1: tensor<2xi64>) -> tensor<1x4xi32> {
  %sizes = "tf.Const"() {value = dense<[1, 4]> : tensor<2xi64>} : () -> (tensor<2xi64>)
  %0 = "tf.Slice"(%arg0, %arg1, %sizes) : (tensor<3x4xi32>, tensor<2xi64>, tensor<2xi64>) -> tensor<1x4xi32>
  func.return %0 : tensor<1x4xi32>
}

// -----

// CHECK-NEXT: %[[qcat_2_0_1_0:.*]] = "tfl.quantize"(%[[cat_2_0_1_0]]) <{qtype = tensor<1x4x!quant.uniform<u8:f32, 0.0026575490540149166:184>>}> {volatile} : (tensor<1x4xf32>) -> tensor<1x4x!quant.uniform<u8:f32, 0.0026575490540149166:184>>
// CHECK-NEXT: %[[dqcat_2_0_1_0:.*]] = "tfl.dequantize"(%[[qcat_2_0_1_0]]) : (tensor<1x4x!quant.uniform<u8:f32, 0.0026575490540149166:184>>) -> tensor<1x4xf32>

  %cst_3 = arith.constant dense<[1, 0]> : tensor<2xi32>
  %79 = "tfl.pseudo_qconst"() {qtype = tensor<3x2x!quant.uniform<i8<-127:127>:f32:0, {2.378620e-03,2.848260e-03,2.545190e-03}>>, value = dense<10> : tensor<3x2xi8>} : () -> tensor<3x2x!quant.uniform<i8<-127:127>:f32:0, {2.378620e-03,2.848260e-03,2.545190e-03}>>