code: def forward_features(self, x):
      x = self.stem(x)
      return self.stages(x)
  
imports: from typing import List
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import ConvNormAct, SeparableConvNormAct, BatchNormAct2d, ClassifierHead, DropPath, create_attn, create_norm_act_layer
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 6 for calling the VovNet obj's underlying member method code with example usage: obj.forward_features(x) and returns: self