// third_party/tensorflow/compiler/mlir/tfrt/transforms/lower_saved_model.cc
  // with the original code trimmed and adapted as needed.
  void runOnOperation() override {
    auto module = getOperation();
    if (!tf_saved_model::HasTfSavedModelSemantics(module)) return;

    // Clean up functions from tf_saved_model attributes.
    OpBuilder builder(module);

      InsertCallOnceOpFromSessionInitializerPass)

 private:
  void runOnOperation() override;
};

void InsertCallOnceOpFromSessionInitializerPass::runOnOperation() {
  ModuleOp module = getOperation();

  for (func::FuncOp init_func_op :
       tf_saved_model::GetInitializerFunctions(module)) {
    for (auto func : module.getOps<func::FuncOp>()) {
      auto dict_attr =

  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestPreCalibrationComponentPass)

 private:
  void runOnOperation() override;
};

void TestPreCalibrationComponentPass::runOnOperation() {
  ModuleOp module_op = getOperation();
  MLIRContext& ctx = getContext();

  // Simply runs the PreCalibrationComponent with a default configuration.
  PreCalibrationComponent component(&ctx);
  QuantizationConfig quantization_config{};

    rewriter.replaceOpWithNewOp<func::CallOp>(op, entry_func_op, op.getArgs());
    return success();
  }
};

void XlaCallModuleToCallPass::runOnOperation() {
  ModuleOp module_op = getOperation();
  MLIRContext* ctx = module_op.getContext();
  RewritePatternSet patterns(&getContext());
  patterns.add<XlaCallModuleOpToCallOp>(ctx);
  if (failed(applyPatternsAndFoldGreedily(module_op, std::move(patterns)))) {

        operands.Insert(op->getOperand(0), ValueConstraint::kShape);
    }

    return success();
  }
};

void TestClusteringPolicyPass::runOnOperation() {
  func::FuncOp func = getOperation();
  ValuesConstraintSet constraints;

  ClusteringPolicySet policies;
  policies.Add<TestOpsClusteringPolicy>();

  // Initialize constraints based on the return type attributes.

class DedupBoundInputBindingPass
    : public impl::DedupBoundInputBindingPassBase<DedupBoundInputBindingPass> {
  void runOnOperation() final;
};

void DedupBoundInputBindingPass::runOnOperation() {
  func::FuncOp func = getOperation();
  if (!mlir::tf_saved_model::IsExported(func)) return;
  llvm::SmallDenseMap<Attribute, unsigned, 8> unique_bound_inputs;
  llvm::BitVector arg_indices_to_erase(func.getNumArguments());

  }

 public:
  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(MockSuccessPass)

  explicit MockSuccessPass() = default;

 private:
  void runOnOperation() override {
    getOperation().walk([](Operation* nestedOp) {
      nestedOp->emitError()
          << "Error at " << nestedOp->getName().getStringRef().str() << " op";
    });
  };
};

// MockFailurePass reports errors and fails.

bool HasXlaOutsideCompilationMarker(Operation& op) {
  return op.getAttrOfType<StringAttr>(kXlaOutsideCompilationAttr) != nullptr;
}

void VerifyNoOutsideCompilationMarkersPass::runOnOperation() {
  Operation* func_op = getOperation();

  auto walk_result = func_op->walk([&](Operation* op) {
    if (IsDeviceClusterOp(*op) && HasChildLaunchDeviceOp(*op)) {
      std::string launch_error =

    : public impl::LegalizeVariablesPassBase<LegalizeVariablesPass> {
 public:
  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(LegalizeVariablesPass)

  void runOnOperation() override {
    auto module = getOperation();
    // If TFLite variable legalization is not allowed, then we skip this pass.
    if (auto legalize_tfl_variables_attr =
            module->getAttr(kLegalizeTflVariables)) {

    std::tie(old_val, new_val) = it;
    old_val.replaceAllUsesExcept(new_val, &return_op);
  }

  cluster_op.erase();
}

void XlaInlineDeviceOpsPass::runOnOperation() {
  ModuleOp module = getOperation();

  llvm::SmallVector<tf_device::ClusterOp, 4> ops;
  module.walk(
      [&](tf_device::ClusterOp cluster_op) { ops.push_back(cluster_op); });

  for (auto cluster_op : ops) {
    InlineDeviceOp(cluster_op);