// Cannot use the pattern rewriter because the driver applies folders by
    // default.
    module.walk([&](mhlo::ConstantOp const_op) {
      UnfoldSplatConstant(&op_builder, const_op);
    });
  }

 private:
  void UnfoldSplatConstant(mlir::OpBuilder* op_builder,
                           mhlo::ConstantOp const_op) const {
    auto splat_elements_attr =
        mlir::dyn_cast<SplatElementsAttr>(const_op.getValue());

  auto attr = CreateTypedAttr(dense_type, value);

  return rewriter->create<arith::ConstantOp>(loc, dense_type,
                                             cast<TypedAttr>(*attr));
}

absl::StatusOr<arith::ConstantOp> CreateConstOpWithSingleValue(
    PatternRewriter* rewriter, Location loc, ShapedType shaped_type,
    int value) {
  ShapedType scalar_type =

      .replaceAllUsesWith(cloned_const_op->getResult(0));
}

bool IsConstOrQConstInt(Operation* op) {
  if (!llvm::isa<TFL::ConstOp, TFL::QConstOp, arith::ConstantOp>(op))
    return false;

  if (auto arith_const_op = dyn_cast_or_null<arith::ConstantOp>(op)) {
    // arith ConstOp path.
    auto type =
        mlir::cast<ShapedType>(arith_const_op.getType()).getElementType();

namespace mlir {
namespace TFL {

// Returns a Constant op with a single value.
absl::StatusOr<arith::ConstantOp> CreateConstOpWithSingleValue(
    PatternRewriter* rewriter, Location loc, ShapedType shaped_type, int value);

// Returns a Constant op with a splat vector value.
absl::StatusOr<arith::ConstantOp> CreateConstOpWithVectorValue(
    PatternRewriter* rewriter, Location loc, ShapedType shaped_type, int value);

  auto reducer =
      builder->create<Op>(loc, block->getArgument(0), block->getArgument(1));
  builder->create<ReturnOp>(loc, reducer.getResult());
}

ConstantOp GetScalarConstOfType(Type ty, Location loc, int64_t raw_value,
                                OpBuilder* builder);

ConstantOp GetScalarNegZeroOfType(Type ty, Location loc, OpBuilder* builder);

// Converts an ArrayAttr to a 1D 64-bit dense elements attribute.

  static std::optional<FoldAdaptor> Create(Operation* operation) {
    auto foldable_opr = [](Value val) -> bool {
      return !llvm::isa<BlockArgument>(val) &&
             llvm::isa<stablehlo::ConstantOp>(val.getDefiningOp());
    };
    if (!llvm::all_of(operation->getOperands(), foldable_opr)) {
      return std::nullopt;
    }
    return FoldAdaptor(operation);
  }

        req_op.getLoc(), func_op.getResultTypes()[0], req_op.getOperand());
    if (func_name.contains("_relu6_")) {
      auto min = rewriter.create<mlir::stablehlo::ConstantOp>(
          req_op.getLoc(), rewriter.getF32FloatAttr(0));
      auto max = rewriter.create<mlir::stablehlo::ConstantOp>(
          req_op.getLoc(), rewriter.getF32FloatAttr(6));
      new_result = rewriter.create<mlir::stablehlo::ClampOp>(

  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);

  auto const_int = builder_.create<chlo::ConstantOp>(
      builder_.getUnknownLoc(), builder_.getI32TensorAttr({42}));

  ConversionTarget target =
      GetDefaultLegalConversionTargets(context_, /*legalize_chlo=*/true);

  EXPECT_TRUE(target.isIllegal(const_int));
}

TEST_F(XlaLegalizeTargetsTest, DontAllowCHLODialect) {
  auto const_int = builder_.create<chlo::ConstantOp>(

  LogicalResult match(mlir::stablehlo::TransposeOp op) const override {
    Value operand = op.getOperand();
    auto const_op =
        dyn_cast_or_null<mlir::stablehlo::ConstantOp>(operand.getDefiningOp());
    if (!const_op) return failure();

    // Only support float tensors.
    auto tensor_type = mlir::dyn_cast_or_null<TensorType>(const_op.getType());