code: def forward_head(self, x, pre_logits: bool = False):
      if self.global_pool:
          x = x.mean(dim=(-1, -2))
      x = self.head_drop(x)
      return x if pre_logits else self.head(x)
  
imports: import math
  from typing import Tuple, List, Callable, Union
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import DropPath, to_2tuple, to_ntuple, trunc_normal_, LayerNorm, use_fused_attn
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 10 for calling the PyramidVisionTransformerV2 obj's underlying member method code with example usage: obj.forward_head(x, pre_logits) and returns: unknown