code: def reset_classifier(self, num_classes, global_pool="avg"):
      self.num_classes = num_classes
      self.global_pool, self.head = create_classifier(
          self.num_features, self.num_classes, pool_type=global_pool
      )
  
imports: import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import to_2tuple, trunc_normal_, DropPath, PatchEmbed, LayerNorm2d, create_classifier, use_fused_attn
  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 6 for calling the Visformer obj's underlying member method code with example usage: obj.reset_classifier(num_classes, global_pool) without return types