code: def resnet50(num_classes=1000, include_top=True):
      return ResNet(
          Bottleneck,
          [3, 4, 6, 3],
          num_classes=num_classes,
          include_top=include_top,
      )
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/ssd/src/res50_backbone.py
imports: import torch.nn
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: resnet50(num_classes, include_top) and returns: ResNet