code: def _create_vovnet(variant, pretrained=False, **kwargs):
      return build_model_with_cfg(
          VovNet,
          variant,
          pretrained,
          model_cfg=model_cfgs[variant],
          feature_cfg=dict(flatten_sequential=True),
          **kwargs,
      )
  
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 1 for calling a global function with example usage: _create_vovnet(variant, pretrained) and returns: build_model_with_cfg