code: def bbox_view(self, src, loc, conf):
      ret = []
      for s, l, c in zip(src, loc, conf):
          ret.append(
              (
                  l(s).view(s.size(0), 4, -1),
                  c(s).view(s.size(0), self.label_num, -1),
              )
          )
  
      locs, confs = list(zip(*ret))
      locs, confs = (
          torch.cat(locs, 2).contiguous(),
          torch.cat(confs, 2).contiguous(),
      )
      return locs, confs
  
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 4 for calling the SSD300 obj's underlying member method code with example usage: obj.bbox_view(src, loc, conf) and returns: locs,  confs