class_docstr: Based on timm and DeiT code bases
  https://github.com/rwightman/pytorch-image-models/tree/master/timm
  https://github.com/facebookresearch/deit/
class_docstr_tok: ["Based","on","timm","and","DeiT","code","bases","https",":","\/\/github.com\/rwightman\/pytorch-image-models\/tree\/master\/timm","https",":","\/\/github.com\/facebookresearch\/deit\/"]
code: def no_weight_decay(self):
      return {"pos_embed", "cls_token", "dist_token"}
  
imports: import logging
  import math
  from functools import partial
  from typing import List, Optional
  import torch
  import torch.nn
  from fairscale.nn import checkpoint_wrapper
  from vissl.config import AttrDict
  from vissl.models.model_helpers import DropPath, to_2tuple, trunc_normal_
  from vissl.models.trunks import register_model_trunk
  from vissl.models.trunks.vision_transformer import Mlp
  from vissl.utils.fsdp_utils import fsdp_wrapper
  from vissl.utils.misc import set_torch_seed
label_desc: Use image node_id 7 for calling the XCiT obj's underlying member method code with example usage: obj.no_weight_decay() and returns: unknown