I’m using VOCSegmentation() from here  https://pytorch.org/docs/stable/_modules/torchvision/datasets/voc.html 2 to get the object and pass this instance into torch.utils.data.DataLoader. After loading i get following error while enumerating the " self.train_loader ". I’m loading  VOC2012 from pascal_voc dataset. Please can you correct me if doing anything wrong , Here is the code snippet. I appreciate any help on this.
  def __init__()
       train_dataset = get_segmentation_dataset(args.dataset, split=args.train_split, mode='train', **data_kwargs) # this get_segementation_dataset() will call VOCSegmentation()
       self.train_loader = data.DataLoader(dataset=train_dataset,
                                           batch_size=args.batch_size,
                                           shuffle=True,
                                           drop_last=True)

  def train(self):
       cur_iters = 0
       start_time = time.time()
       for epoch in range(self.args.start_epoch, self.args.epochs):
           self.model.train()

           **for i, (images, targets) in enumerate(self.train_loader):**

               cur_lr = self.lr_scheduler(cur_iters)
               for param_group in self.optimizer.param_groups:
                   param_group['lr'] = cur_lr

               images = images.to(self.args.device)
               targets = targets.to(self.args.device)

               outputs = self.model(images)