func.func @main(%input: tensor<8x9xf32>, %filter: tensor<9x10xi8>) -> tensor<8x10xf32> {
  %filter_scale = "tf.Const"() { value = dense<0.0235> : tensor<f32> } : () -> tensor<f32>
  %filter_zp = "tf.Const"() { value = dense<0> : tensor<i32> } : () -> tensor<i32>
  %quant_filter = "tf.Cast"(%filter) {} : (tensor<9x10xi8>) -> tensor<9x10x!tf_type.qint8>

// CHECK: %[[quant:.*]] = "tfr.cast"(%arg0) : (tensor<1x10xi8>) -> !tfr.tensor
// CHECK: %[[scale_cast:.*]] = "tfr.cast"(%[[scale]])
// CHECK: %[[zp_cast:.*]] = "tfr.cast"(%[[zp]])
// CHECK: %[[requant:.*]] = tfr.call @tf__requantize(%[[quant]], %[[scale_cast]], %[[zp_cast]])
// CHECK: %[[result:.*]] = "tfr.cast"(%[[requant]])
// CHECK-NOT: quant.uniform
// CHECK: return %[[result]], %[[float_resunt:.*]] : tensor<1x10xi8>, tensor<1x5xf32>
}

    %5 = stablehlo.constant dense<2.000000e+02> : tensor<1x1xf32>  // Output inverse scale.
    %6 = stablehlo.constant dense<2> : tensor<1x1xi8>  // Output zero point.
    %7 = call @uniform_quantize_0(%arg0, %0, %1) : (tensor<1x2xf32>, tensor<1x1xf32>, tensor<1x1xi8>) -> tensor<1x2xi8>
    %8 = stablehlo.convert %7 : (tensor<1x2xi8>) -> tensor<1x2xf32>
    %9 = stablehlo.convert %2 : (tensor<2x3xi8>) -> tensor<2x3xf32>

tensor<i8>, tensor<f64>, tensor<!tf_type.resource>)

# CHECK-SUBTYPE: func @main(%arg0: tensor<10xi32>, %arg1: tensor<!tf_type.variant<tensor<10xf32>>>, %arg2: tensor<10xi8>, %arg3: tensor<10xf64>, %arg4: tensor<!tf_type.resource<tensor<10xi32>>>) -> (tensor<10xi32>, tensor<!tf_type.variant<tensor<10xf32>>>, tensor<10xi8>, tensor<10xf64>, tensor<!tf_type.resource<tensor<10xi32>>>)...

  %2 = "tfr.cast"(%1) : (!tfr.tensor) -> tensor<10xi8>
  %3 = "tf.Cast"(%2) {Truncate = false} : (tensor<10xi8>) -> tensor<10xi32>
  func.return %3 : tensor<10xi32>
// CHECK: %[[CAST_0:.*]] = "tfr.cast"(%arg0) : (tensor<10x!quant.uniform<i8:f32, 0.0039133410900831223:-128>>) -> !tfr.tensor
// CHECK: %[[CAST_1:.*]] = "tfr.cast"(%[[CAST_0]]) : (!tfr.tensor) -> tensor<10xi8>

    %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

  %2 = "tfl.cast"(%1) : (tensor<1x?x10xi1>) -> tensor<1x?x10xf32>
  func.return %2 : tensor<1x?x10xf32>

  // CHECK-DAG: %[[CST:.*]] = arith.constant dense<[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]> : tensor<10xi32>
  // CHECK: %[[EQUAL:.*]] = "tfl.equal"(%arg0, %[[CST]]) : (tensor<1x?xi32>, tensor<10xi32>) -> tensor<1x?x10xi1>