windows上在自己的数据集上训练出现错误

我在windows上尝试在自己的数据集上训练nano模型时出现了如下错误：

AttributeError: Caught AttributeError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "C:\Users\16353\Anaconda3\envs\pytorch_gpu\lib\site-packages\torch\utils\data\_utils\worker.py", line 287, in _worker_loop
    data = fetcher.fetch(index)
  File "C:\Users\16353\Anaconda3\envs\pytorch_gpu\lib\site-packages\torch\utils\data\_utils\fetch.py", line 52, in fetch
    return self.collate_fn(data)
  File "C:\Users\16353\Anaconda3\envs\pytorch_gpu\lib\site-packages\torch\utils\data\_utils\collate.py", line 84, in default_collate
    return [default_collate(samples) for samples in transposed]
  File "C:\Users\16353\Anaconda3\envs\pytorch_gpu\lib\site-packages\torch\utils\data\_utils\collate.py", line 84, in <listcomp>
    return [default_collate(samples) for samples in transposed]
  File "C:\Users\16353\Anaconda3\envs\pytorch_gpu\lib\site-packages\torch\utils\data\_utils\collate.py", line 53, in default_collate
    numel = sum(x.numel() for x in batch)
  File "C:\Users\16353\Anaconda3\envs\pytorch_gpu\lib\site-packages\torch\utils\data\_utils\collate.py", line 53, in <genexpr>
    numel = sum(x.numel() for x in batch)
AttributeError: 'int' object has no attribute 'numel'

已是github上最新的代码。请问老师这个问题怎么解决？

你 x 是int整数类型 没有'numel'方法