code: def forward_head(self, x, pre_logits: bool = False):
      x = self.global_pool(x)
      x = self.head_drop(x)
      return x if pre_logits else self.head(x)
  
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 8 for calling the Visformer obj's underlying member method code with example usage: obj.forward_head(x, pre_logits) and returns: unknown