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.last_linear(x)
  
imports: from functools import partial
  import torch
  import torch.nn
  from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import create_classifier, ConvNormAct
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 7 for calling the InceptionV4 obj's underlying member method code with example usage: obj.forward_head(x, pre_logits) and returns: unknown