code: def _create_senet(variant, pretrained=False, **kwargs):
      return build_model_with_cfg(SENet, variant, pretrained, **kwargs)
  
imports: import math
  from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 2 for calling a global function with example usage: _create_senet(variant, pretrained) and returns: build_model_with_cfg