code: def _create_inception_resnet_v2(variant, pretrained=False, **kwargs):
      return build_model_with_cfg(
          InceptionResnetV2, variant, pretrained, **kwargs
      )
  
imports: from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import create_classifier, ConvNormAct
  from ._builder import build_model_with_cfg
  from ._manipulate import flatten_modules
  from ._registry import register_model, generate_default_cfgs, register_model_deprecations
label_desc: Use image node_id 1 for calling a global function with example usage: _create_inception_resnet_v2(variant, pretrained) and returns: build_model_with_cfg