// CHECK-LABEL: DequantizeAndQuantize
func.func @DequantizeAndQuantize() -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> {
  %cst = "tfl.pseudo_qconst"() {qtype = tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>, value = dense<-1> : tensor<2x2xi8>} : () -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>
  %0 = "tfl.dequantize"(%cst) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> tensor<2x2xf32>

// CHECK: %[[UNIFORM_QUANTIZE_0:.+]] = stablehlo.uniform_quantize %[[ARG_0]] : (tensor<2x2x2xf32>) -> tensor<2x2x2x!quant.uniform<i8:f32, {{.*}}>>

  %1 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> loc("XlaConv/feature_group_count")
  %2 = "tf.Const"() {value = dense<1> : tensor<2x2xi32>} : () -> tensor<2x2xi32> loc("XlaConv/padding")
  %3 = "tf.Const"() {value = dense<1> : tensor<2xi32>} : () -> tensor<2xi32> loc("XlaConv/window_strides")

//
//   %indices0 = "tf.Const"() {value = dense<4> : tensor<i32>}
//   %indices1 = "tf.Const"() {value = dense<[[3, 2], [1, 0]]> :
//   tensor<2x2xi32>} %0 = "tf.DynamicStitch"(%indices0, %indices1, %arg0,
//   %arg1)
//     : (tensor<i32>, tensor<2x2xi32>, tensor<2xf32>, tensor<2x2x2xf32>)
//     -> tensor<5x2xf32>
//
// is lowered to
//
//   %shape = "tf.Const"() {value = dense<[-1, 2]> : tensor<2xi64>}