code: def resnet101(pretrained=True, **kwargs):
      """Constructs a ResNet-101 model.
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
      """
      model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
      if pretrained:
          model.load_state_dict(
              model_zoo.load_url(model_urls["resnet101"]), strict=False
          )
      return model
  
imports: import torch.nn
  import math
  import torch.utils.model_zoo
label_desc: Use image node_id 8 for calling a global function with example usage: resnet101(pretrained) and returns: model