code: def model(args):
      ssd300 = SSD300(backbone=args.backbone)
      ssd300.cuda()
      if args.distributed:
          ssd300 = DDP(
              ssd300,
              device_ids=[args.local_rank],
              output_device=args.local_rank,
          )
  
      return ssd300
  
imports: import torch
  import torch.nn
  from torchvision.models.resnet import resnet18, resnet34, resnet50, resnet101, resnet152
  from torch.nn.parallel import DistributedDataParallel
label_desc: Use image node_id 1 for calling a global function with example usage: model(args) and returns: ssd300