code: def set_grad_checkpointing(self, enable=True):
      assert not enable, "gradient checkpointing not supported"
  
imports: import math
  from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 4 for calling the SENet obj's underlying member method code with example usage: obj.set_grad_checkpointing(enable) without return types