code: def forward_head(self, x, pre_logits: bool = False):
      return (
          self.head(x, pre_logits=True) if pre_logits else self.head(x)
      )
  
imports: import math
  from functools import partial
  from itertools import accumulate
  from typing import Tuple
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, DEFAULT_CROP_PCT
  from timm.layers import lecun_normal_, DropPath, Mlp, PatchEmbed, ClassifierHead
  from ._builder import build_model_with_cfg
  from ._manipulate import named_apply
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 8 for calling the Sequencer2d obj's underlying member method code with example usage: obj.forward_head(x, pre_logits) and returns: unknown