我是PyTorch的初学者，我只是在尝试一些on this webpage的例子。但我似乎不能得到'super_resolution'程序运行，由于这个错误：
RuntimeError: DataLoader worker (pid(s) 15332) exited unexpectedly
我在网上搜索了一下，发现有人建议把num_workers设置为0，但如果我这样做了，程序会告诉我内存不足（CPU或GPU）：
RuntimeError: [enforce fail at ..\c10\core\CPUAllocator.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 9663676416 bytes. Buy new RAM!
或
RuntimeError: CUDA out of memory. Tried to allocate 1024.00 MiB (GPU 0; 4.00 GiB total capacity; 2.03 GiB already allocated; 0 bytes free; 2.03 GiB reserved in total by PyTorch)
我该如何解决这个问题？
我在Win10（64位）和pytorch 1.4.0上使用的是python 3.8。
更完整的错误消息（--cuda表示使用GPU，--threads x表示将x传递给num_worker参数）：
1.使用命令行参数--upscale_factor 1 --cuda

File "E:\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 761, in _try_get_data
    data = self._data_queue.get(timeout=timeout)
  File "E:\Python38\lib\multiprocessing\queues.py", line 108, in get
    raise Empty
_queue.Empty

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "Z:\super_resolution\main.py", line 81, in <module>
    train(epoch)
  File "Z:\super_resolution\main.py", line 48, in train
    for iteration, batch in enumerate(training_data_loader, 1):
  File "E:\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 345, in __next__
    data = self._next_data()
  File "E:\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 841, in _next_data
    idx, data = self._get_data()
  File "E:\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 808, in _get_data
    success, data = self._try_get_data()
  File "E:\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 774, in _try_get_data
    raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
RuntimeError: DataLoader worker (pid(s) 16596, 9376, 12756, 9844) exited unexpectedly

1.使用命令行参数--upscale_factor 1 --cuda --threads 0

File "Z:\super_resolution\main.py", line 81, in <module>
    train(epoch)
  File "Z:\super_resolution\main.py", line 52, in train
    loss = criterion(model(input), target)
  File "E:\Python38\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__
    result = self.forward(*input,**kwargs)
  File "Z:\super_resolution\model.py", line 21, in forward
    x = self.relu(self.conv2(x))
  File "E:\Python38\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__
    result = self.forward(*input,**kwargs)
  File "E:\Python38\lib\site-packages\torch\nn\modules\conv.py", line 345, in forward
    return self.conv2d_forward(input, self.weight)
  File "E:\Python38\lib\site-packages\torch\nn\modules\conv.py", line 341, in conv2d_forward
    return F.conv2d(input, weight, self.bias, self.stride,
RuntimeError: CUDA out of memory. Tried to allocate 1024.00 MiB (GPU 0; 4.00 GiB total capacity; 2.03 GiB already allocated; 954.35 MiB free; 2.03 GiB reserved in total by PyTorch)