code: def get_backbone(name, **kwargs):
      models = {
          "resnet18": resnet18_v1b,
          "resnet34": resnet34_v1b,
          "resnet50": resnet50_v1s,
          "resnet101": resnet101_v1s,
          "resnet152": resnet152_v1s,
          "resnest50": resnest50,
          "resnest101": resnest101,
          "resnest200": resnest200,
          "resnest269": resnest269,
      }
      name = name.lower()
      if name not in models:
          raise ValueError(
              "%s\n\t%s"
              % (str(name), "\n\t".join(sorted(models.keys())))
          )
      net = models[name](**kwargs)
      return net
  
imports: import math
  import warnings
  import numpy
  import mxnet
  from mxnet.ndarray import NDArray
  from mxnet.gluon.nn import HybridBlock
  from ..utils.parallel import parallel_apply
  from .resnetv1b import resnet18_v1b, resnet34_v1b, resnet50_v1s, resnet101_v1s, resnet152_v1s
  from .resnest import resnest50, resnest101, resnest200, resnest269
  from ..utils.parallel import tuple_map
label_desc: Use image node_id 2 for calling a global function with example usage: get_backbone(name) and returns: net