class_docstr: CoaT class. 
class_docstr_tok: ["CoaT","class","."]
code: def set_grad_checkpointing(self, enable=True):
      assert not enable, "gradient checkpointing not supported"
  
imports: from functools import partial
  from typing import Tuple, List, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import PatchEmbed, Mlp, DropPath, to_2tuple, trunc_normal_, _assert, LayerNorm
  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 CoaT obj's underlying member method code with example usage: obj.set_grad_checkpointing(enable) without return types