code: def forward_head(self, x, pre_logits: bool = False):
      if self.global_pool == "avg":
          x = x.mean((2, 3), keepdim=False)
      x = self.head_drop(x)
      return self.head(x)
  
imports: import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from ._registry import register_model, generate_default_cfgs
  from ._builder import build_model_with_cfg
  from timm.layers import SqueezeExcite, trunc_normal_, to_ntuple, to_2tuple
  from ._manipulate import checkpoint_seq
  import torch
label_desc: Use image node_id 8 for calling the RepVit obj's underlying member method code with example usage: obj.forward_head(x, pre_logits) and returns: self