op->getName().getDialectNamespace();
}

void OrderByDialectPass::runOnOperation() {
  ModuleOp module = getOperation();
  for (func::FuncOp func : module.getOps<func::FuncOp>()) {
    std::vector<std::pair<Operation*, Operation*>> side_effect_data;
    const detail::SideEffectAnalysisInfo* info = nullptr;
    auto extra_dependencies =
        [&](Operation* op,

        return token;
    }

    public String getSegmentation() {
        return segmentation;
    }

    public String getReading() {
        return reading;
    }

    public String getPos() {
        return pos;
    }

    public boolean isUpdated() {
        return newToken != null;
    }

    public boolean isDeleted() {
        return isUpdated() && newToken.length() == 0;

  LogicalResult UnifyReplicationInfo(func::FuncOp func) {
    auto new_repl_info =
        builder.getStringAttr(func.getSymName().str() + "_repl_info");
    for (auto& op : func.getRegion().getOps()) {
      if (auto compile_op = llvm::dyn_cast<TF::TPUCompilationResultOp>(op)) {
        UpdateReplicationAttr(compile_op, new_repl_info);
      } else {
        UpdateReplicationAttr(&op, new_repl_info);
      }

  FailureOr<OpT> FindFirstOpFromMainFunc(ModuleOp module_op) {
    func::FuncOp main_func_op = FindMainFuncOp(module_op);
    if (main_func_op == nullptr) return failure();

    auto ops = main_func_op.getOps<OpT>();
    if (ops.empty()) return failure();

    return *ops.begin();
  }

  std::unique_ptr<MLIRContext> ctx_;
  OpBuilder builder_;
};

}  // namespace mlir::quant

}

template <typename Op, typename ElementType = Type, typename ValType,
          typename Convert>
static Attribute BinaryFolder(Op *op) {
  auto lhs_op = op->getLhs().template getDefiningOp<mhlo::ConstantOp>();
  auto rhs_op = op->getRhs().template getDefiningOp<mhlo::ConstantOp>();
  if (!lhs_op || !lhs_op) return {};

  auto lhs = dyn_cast_or_null<DenseElementsAttr>(lhs_op.getValue());

    return "Compute the total cost for each available subgraph.";
  }
  void runOnOperation() override;
};

void ComputeCostPass::runOnOperation() {
  auto module = getOperation();

  for (auto func : module.getOps<func::FuncOp>()) {
    // We only care about those functions annotated with "tac.interface_name".
    auto interface_name = GetInterFaceName(func);
    if (!interface_name.has_value()) continue;

}  // namespace

void LegalizeTFGToTFE::runOnOperation() {
  MLIRContext &context = getContext();
  ModuleOp module = getOperation();

  DenseSet<StringRef> func_symbols;
  for (auto &op : module.getBodyRegion().getOps()) {
    if (auto func = llvm::dyn_cast<tfg::GraphFuncOp>(op)) {
      func_symbols.insert(
          func->getAttrOfType<StringAttr>(SymbolTable::getSymbolAttrName())
              .getValue());
    }
  }

    if (function_name.contains("conv")) {
      return (*(func.getOps<mlir::stablehlo::ConvolutionOp>().begin()))
          .getDimensionNumbers()
          .getKernelOutputFeatureDimension();
    } else if (function_name.contains("dot_general")) {
      auto dot = *(func.getOps<mlir::stablehlo::DotGeneralOp>().begin());
      const ::mlir::stablehlo::DotDimensionNumbersAttr dimension_numbers =

  // Move all remaining nested functions back into the parent module.
  Block &nested_block = nested_module->getRegion(0).front();
  for (func::FuncOp func_op :
       llvm::make_early_inc_range(nested_block.getOps<func::FuncOp>())) {
    if (!symbol_table.lookupSymbolIn(getOperation(), func_op.getName())) {
      nested_block.getOperations().remove(func_op.getOperation());
      symbol_table.insert(func_op.getOperation());
    }
  }

  // funtion. This is critical for preserving correctness in the presence of
  // resource variables and stateful functions.
  std::vector<Operation*> topological_order;
  for (Operation& op : parent_func.getOps())
    if (ops.contains(&op)) topological_order.push_back(&op);

  // Create the partitioned call
  builder.restoreInsertionPoint(insertion_point);