std::unique_ptr<OperationPass<ModuleOp>> CreateOptimizeGlobalTensorsPass();

// Creates a pass that freezes tf_saved_model.global_tensor ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateFreezeGlobalTensorsPass(
    bool allow_mutable_tensors = false);

// Creates a pass that freezes tf_saved_model.asset ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateFreezeAssetsPass(
    std::string saved_model_dir = "");

  // freezing of TF v2 GlobalTensor ops. (Ref: b/206855389)
  pm.addPass(mlir::tf_saved_model::CreateOptimizeGlobalTensorsPass());
  pm.addPass(mlir::tf_saved_model::CreateFreezeGlobalTensorsPass(
      /*allow_mutable_tensors=*/true));

  // Generic MLIR optimization passes.
  pm.addPass(mlir::createCanonicalizerPass());
  pm.addPass(mlir::TF::CreateTFShapeInferencePass());

    support resources/variables. Further, this contract also ensures that this
    pass lowers from saved model to pure TF. Hence it fails, if it cannot lower.
  }];

  let constructor = "::mlir::tf_saved_model::CreateFreezeGlobalTensorsPass()";

  let options = [
    Option<"allow_mutable_tensors", "allow-mutable-tensors", "bool", /*default=*/"false",
           "Allows mutable tensors to be in the graph.">
  ];
}

    module.emitError() << "could not freeze all global tensors in the module";
    return signalPassFailure();
  }
}

}  // namespace

std::unique_ptr<OperationPass<ModuleOp>> CreateFreezeGlobalTensorsPass(
    bool allow_mutable_tensors) {
  return std::make_unique<FreezeGlobalTensorsPass>(allow_mutable_tensors);
}

}  // namespace tf_saved_model