code: def make_private(self, gsm_mode: str = "hooks") -> None:
      self._module = wrap_model(self._module, grad_sample_mode=gsm_mode)
  
imports: from enum import Enum
  from typing import Callable, Dict, Optional, Tuple, Type, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from opacus.grad_sample import GradSampleModule
  from opacus.grad_sample.utils import wrap_model
  from opacus.layers import DPGRU, DPLSTM, DPRNN, DPMultiheadAttention
  from opacus.layers.dp_rnn import DPRNNBase
label_desc: Use image node_id 7 for calling the Layer obj's underlying member method code with example usage: obj.make_private(gsm_mode) without return types