code: def forward_head(self, x, pre_logits: bool = False):
      if self.global_pool == "avg":
          x = x.mean(dim=1)
      x = self.head_drop(x)
      return x if pre_logits else self.head(x)
  
imports: import math
  from functools import partial
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import PatchEmbed, Mlp, GluMlp, GatedMlp, DropPath, lecun_normal_, to_2tuple
  from ._builder import build_model_with_cfg
  from ._manipulate import named_apply, checkpoint_seq
  from ._registry import generate_default_cfgs, register_model, register_model_deprecations
label_desc: Use image node_id 8 for calling the MlpMixer obj's underlying member method code with example usage: obj.forward_head(x, pre_logits) and returns: unknown