RuntimeError: Expected a 'cuda' device type for generator but found 'cpu'

[Xbotgo-Justin1]

D:\ProgramData\Anaconda3\python.exe D:/code/python/ssd.pytorch/train.py
Loading base network...
Initializing weights...
Loading the dataset...
Training SSD on: VOC0712
Using the specified args:
Namespace(basenet='vgg16_reducedfc.pth', batch_size=32, cuda=True, dataset='VOC', dataset_root='D:\code\python\ssd.pytorch\data/VOCdevkit/', gamma=0.1, lr=0.001, momentum=0.9, num_workers=4, resume=None, save_folder='weights/', start_iter=0, visdom=False, weight_decay=0.0005)
Traceback (most recent call last):
File "D:/code/python/ssd.pytorch/train.py", line 261, in
train()
File "D:/code/python/ssd.pytorch/train.py", line 150, in train
batch_iterator = iter(data_loader)
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter
return self._get_iterator()
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 944, in init
self._reset(loader, first_iter=True)
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 975, in _reset
self._try_put_index()
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 1209, in _try_put_index
index = self._next_index()
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 512, in _next_index
return next(self._sampler_iter) # may raise StopIteration
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\sampler.py", line 229, in iter
for idx in self.sampler:
File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\sampler.py", line 126, in iter
yield from torch.randperm(n, generator=generator).tolist()
RuntimeError: Expected a 'cuda' device type for generator but found 'cpu'

[tengfei1998]

I have also encountered this problem, did you solve it please?

[wln20]

Change the data_loader definition sentence(approximately at line 145) to the following sentence :
data_loader = data.DataLoader(dataset, args.batch_size,
num_workers=args.num_workers,
shuffle=True, collate_fn=detection_collate,
pin_memory=True,
generator = torch.Generator(device='cuda'))