code: def set_grad_checkpointing(self, enable=True):
      for s in self.stages:
          s.grad_checkpointing = enable
  
imports: from typing import List
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import ConvNormAct, SeparableConvNormAct, BatchNormAct2d, ClassifierHead, DropPath, create_attn, create_norm_act_layer
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 3 for calling the VovNet obj's underlying member method code with example usage: obj.set_grad_checkpointing(enable) without return types