%filter_scale_tensor = "tfr.constant_tensor"(%filter_scale) : (f32) -> !tfr.tensor
  %list = "tfr.build_list"(%input_scale_tensor, %filter_scale_tensor) : (!tfr.tensor, !tfr.tensor) -> !tfr.tensor_list
  %out = "tfr.quant_scale_factor"(%output_scale, %list) : (f32, !tfr.tensor_list) -> !tfr.tensor
  %perchannel_scale = arith.constant dense<[0.4, 4.0]> : tensor<2xf32>
  %perchannel_scale_tensor = "tfr.cast"(%perchannel_scale) : (tensor<2xf32>) -> !tfr.tensor

  func.return %scale, %zp : !tfr.tensor, !tfr.tensor
}

// -----

// CHECK-LABEL: quant_scale_factor
func.func @quant_scale_factor(%arg0: f32, %arg1: !tfr.tensor_list) -> (!tfr.tensor) {
  %0 = "tfr.quant_scale_factor"(%arg0, %arg1) : (f32, !tfr.tensor_list) -> (!tfr.tensor)
  func.return %0 : !tfr.tensor
}

// -----

// CHECK-LABEL: build_const_list

  }];

  let hasCanonicalizer = 1;
}


def TFR_TFRQuantScaleFactorOp : TFR_Op<"quant_scale_factor", [Pure]> {
  let description = [{
   The `quant_scale_factor` computes the effective scale factor according to the
   output scale and input scales.

    Example:

    ```mlir
    %3 = tfr.quant_scale_factor(%0) : (f32, tfr.tensor_list) -> (tfr.tensor)
    ```
  }];

  let arguments = (ins

      CHECK:        %[[factor:.*]] = tfr.quant_scale_factor(%{{.*}}, %[[list]]) : (f32, !tfr.tensor_list) -> (!tfr.tensor)
      CHECK:        %[[list1:.*]] = "tfr.build_list"(%[[factor]]) : (!tfr.tensor) -> !tfr.tensor_list
      CHECK:        %[[factor1:.*]] = tfr.quant_scale_factor(%{{.*}}, %[[list1]]) : (f32, !tfr.tensor_list) -> (!tfr.tensor)

class RemoveScaleFactorOp : public OpRewritePattern<TFRQuantScaleFactorOp> {
  using OpRewritePattern<TFRQuantScaleFactorOp>::OpRewritePattern;

 public:
  // Replace quant_scale_factor with constant tensor equivalent to
  // TFR_ConstantTensorOp (
  //   ConstantOp (ConstAttr<F32Attr (in_scale[0] * in_scale[1] /
  //   out_scale))
  // )