code: def _create_skresnet(variant, pretrained=False, **kwargs):
      return build_model_with_cfg(
          ResNet,
          variant,
          pretrained,
          **kwargs,
      )
  
imports: import math
  from torch import nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import SelectiveKernel, ConvNormAct, create_attn
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
  from .resnet import ResNet
label_desc: Use image node_id 1 for calling a global function with example usage: _create_skresnet(variant, pretrained) and returns: build_model_with_cfg