bool skip_raise_cpu_ops = false, bool ignore_inference_type = false);

// Create an instance of the AlternativeSubgraphPass.
std::unique_ptr<OperationPass<ModuleOp>> CreateAlternativeSubgraphPass(
    llvm::ArrayRef<std::string> device_specs);

// Create an instance of ComputeCostPass.
std::unique_ptr<OperationPass<ModuleOp>> CreateComputeCostPass();

// Create an instance of PickSubgraphsPass.

  pass_manager->addPass(mlir::TFL::tac::CreateFoldConstantsToSubgraphPass(
      /*fold_all_constants=*/false));
  pass_manager->addPass(
      mlir::TFL::tac::CreateAlternativeSubgraphPass(device_specs));
  if (options_.legalize_to_tflite_ops) {
    // After we creat the alternative subgraph, we can still do canonicalization
    // legalization & other optimizations as long as we're not inlining the

  for (auto func : funcs_to_be_processed) {
    GetAlternativeGraphForFunc(device_specs, func, module, &builder);
  }
}

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>> CreateAlternativeSubgraphPass(
    llvm::ArrayRef<std::string> device_specs) {
  return std::make_unique<AlternativeSubgraphPass>(device_specs);
}

static PassRegistration<AlternativeSubgraphPass> pass;

}  // namespace tac