return failure();
  }

  auto zero_points_type =
      mlir::dyn_cast_or_null<TensorType>(zero_points.getType());
  if (!zero_points_type) {
    LLVM_DEBUG(llvm::dbgs() << "Zero point value should be a tensor type. Got: "
                            << zero_points_type << ".\n");
    return failure();
  }

  if (Type zero_points_element_type = zero_points_type.getElementType();

    }
    if (zero_points_type.hasRank() && zero_points_type.getRank() != 1) {
      return op.emitOpError(
          "quantization_axis is not -1, zero_points must have 1 rank.");
    }
    if (scales_type.hasStaticShape() && zero_points_type.hasStaticShape() &&
        scales_type.getNumElements() != zero_points_type.getNumElements()) {
      return op.emitOpError(

  TensorType zero_point_type = scale_type.clone(rewriter.getI32Type());
  scale = rewriter.create<TF::ConstOp>(
      loc, scale_type,
      DenseFPElementsAttr::get(scale_type,
                               {static_cast<float>(qtype.getScale())}));
  zero_point = rewriter.create<TF::ConstOp>(
      loc, zero_point_type,
      DenseIntElementsAttr::get(zero_point_type,