code: def resnet101(pretrained=True, **kwargs):
      """Constructs a ResNet-101 model.
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on Places
      """
      model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
      if pretrained:
          model.load_state_dict(
              load_url(url=model_urls["resnet101"], **kwargs),
              strict=False,
          )
      return model
  
imports: import os
  import sys
  import torch
  import torch.nn
  import math
label_desc: Use image node_id 3 for calling a global function with example usage: resnet101(pretrained) and returns: model