L:\trocr\crnn.pytorch-master>py -3 train.py --direction horizontal
Namespace(batch_size=64, device='cpu', direction='horizontal', dist_backend='nccl', dist_url='env://', distributed=False, epochs=90, init_epoch=0, local_rank=0, lr=0.01, lr_gamma=0.1, lr_step_size=30, momentum=0.9, output_dir='./output', sync_bn=False, weight_decay=1e-05, workers=4, world_size=1)
0%| | 0/47902 [00:02<?, ?it/s]
Traceback (most recent call last):
File "", line 1, in
Traceback (most recent call last):
File "train.py", line 192, in
train(arguments)
File "train.py", line 138, in train
loss = train_one_epoch(model, criterion, optimizer, data_loader, device, epoch, args)
File "train.py", line 65, in train_one_epoch
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
for image, target, input_len, target_len in tqdm(data_loader):
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\tqdm\std.py", line 1165, in iter
exitcode = _main(fd, parent_sentinel)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
for obj in iterable:
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter
return self._get_iterator()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 918, in init
w.start()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle 'Font' object
我尝试用cpu训练。报错了，怎么解决？微信nlanguage 。 py -3 train.py --direction horizontal
L:\trocr\crnn.pytorch-master>py -3 train.py --direction horizontal Namespace(batch_size=64, device='cpu', direction='horizontal', dist_backend='nccl', dist_url='env://', distributed=False, epochs=90, init_epoch=0, local_rank=0, lr=0.01, lr_gamma=0.1, lr_step_size=30, momentum=0.9, output_dir='./output', sync_bn=False, weight_decay=1e-05, workers=4, world_size=1) 0%| | 0/47902 [00:02<?, ?it/s] Traceback (most recent call last): File "", line 1, in
Traceback (most recent call last):
File "train.py", line 192, in
train(arguments)
File "train.py", line 138, in train
loss = train_one_epoch(model, criterion, optimizer, data_loader, device, epoch, args)
File "train.py", line 65, in train_one_epoch
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 116, in spawn_main
for image, target, input_len, target_len in tqdm(data_loader):
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\tqdm\std.py", line 1165, in iter
exitcode = _main(fd, parent_sentinel)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
for obj in iterable:
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter
return self._get_iterator()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\utils\data\dataloader.py", line 918, in init
w.start()
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\Ni\AppData\Local\Programs\Python\Python38\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle 'Font' object