class_docstr: CoaT class. 
class_docstr_tok: ["CoaT","class","."]
code: def reset_classifier(self, num_classes, global_pool=None):
      self.num_classes = num_classes
      if global_pool is not None:
          assert global_pool in ("token", "avg")
          self.global_pool = global_pool
      self.head = (
          nn.Linear(self.num_features, num_classes)
          if num_classes > 0
          else nn.Identity()
      )
  
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 7 for calling the CoaT obj's underlying member method code with example usage: obj.reset_classifier(num_classes, global_pool) without return types