code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = self.forward_features(x)
      x = self.forward_head(x)
      return x
  
imports: from typing import Union, List, Dict, Any, cast
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import ClassifierHead
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_module
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 8 for calling the VGG obj's underlying member method code with example usage: obj.forward(x) and returns: x