code: def resnext101_32x8d(num_classes=1000, include_top=True):
      # https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth
      groups = 32
      width_per_group = 8
      return ResNet(
          Bottleneck,
          [3, 4, 23, 3],
          num_classes=num_classes,
          include_top=include_top,
          groups=groups,
          width_per_group=width_per_group,
      )
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/train_coco_dataset/backbone/resnet.py
imports: import torch.nn
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: resnext101_32x8d(num_classes, include_top) and returns: ResNet