mlir::Value y) -> mlir::Operation* {
             return opb.create<mlir::TF::AddV2Op>(loc, x, y).getOperation();
           });

  py::class_<mlir::TF::AnyOp>(m, "Tf_AnyOp")
      .def("create",
           [](mlir::OpBuilder& opb, mlir::Location loc, mlir::Value input,
              mlir::Value reduction_indices,
              bool keep_dims = false) -> mlir::Operation* {

class Tf_AddV2Op:
    def __init__(self, *args, **kwargs) -> None: ...
    def create(self, arg0: Location, arg1: Value, arg2: Value) -> Operation: ...

class Tf_AnyOp:
    def __init__(self, *args, **kwargs) -> None: ...
    def create(self, arg0: Location, arg1: Value, arg2: Value, arg3: bool) -> Operation: ...

class Tf_ConstOp:
    def __init__(self, *args, **kwargs) -> None: ...