auto one_cst =
      rewriter.create<stablehlo::ConstantOp>(rewriter.getUnknownLoc(), one_val);

  auto half_val = DenseElementsAttr::get(type, kHalf);
  auto half_cst =
      rewriter.create<stablehlo::ConstantOp>(one_cst.getLoc(), half_val);

  auto one_over_root2_val = DenseElementsAttr::get(type, kOneOverRoot2);
  auto one_over_root2_cst = rewriter.create<stablehlo::ConstantOp>(
      half_cst.getLoc(), one_over_root2_val);

def CloneF32ElementsAttrWithOnes
  : NativeCodeCall<"DenseElementsAttr::get($0.getType().cast<ShapedType>(), (float)1.0)">;

def NotConstant : Constraint<
    CPred<"$0.isa<BlockArgument>() || !llvm::isa<stablehlo::ConstantOp>($0.getDefiningOp())">,
    "Is not a constant.">;

def : Pat<(StableHLO_DivOp $l,
            (StableHLO_ConstantOp:$divisor FloatElementsAttr<32>:$cst)),
          (StableHLO_MulOp $l,
            (StableHLO_DivOp

    scale_spec->has_same_operand_and_result_type_requirement = true;
  }
  return scale_spec;
}

bool IsOpQuantizableStableHlo(Operation* op) {
  if (isa<func::ConstantOp, mlir::stablehlo::ConstantOp>(op)) {
    // Constant ops do not have QuantizableResult attribute but can be
    // quantized.
    return true;
  } else if (op->hasTrait<OpTrait::IsTerminator>() ||

  builder.setInsertionPointToStart(&session_init_func.getBlocks().front());
  auto var_handle_op_in_init = var_handle_op->clone();
  builder.insert(var_handle_op_in_init);
  auto const_op = builder.create<mlir::arith::ConstantOp>(
      session_init_func.getLoc(), tensor_attr.getType(), tensor_attr);

  builder.create<TF::AssignVariableOp>(
      session_init_func.getLoc(), llvm::ArrayRef<mlir::Type>{},

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"

namespace tflite {
namespace {

bool IsConst(mlir::Operation* op) {
  return llvm::isa<mlir::arith::ConstantOp, mlir::TF::ConstOp,
                   mlir::TFL::ConstOp, mlir::TFL::QConstOp>(op);
}

bool IsOpSupported(mlir::Operation* op, const std::string& hardware) {