本人正在学习机器学习,在利用miniImageNet尝试训练一种元学习分类器,执行代码为
python train_classifier.py --config configs/train_classifier_mini.yaml
但是出现了大量报错:
Traceback (most recent call last):
File "train_classifier.py", line 279, in <module>
main(config)
File "train_classifier.py", line 147, in main
for data, label in tqdm(train_loader, desc='train', leave=False):
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\tqdm\std.py", line 1180, in __iter__
for obj in iterable:
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 359, in __iter__
return self._get_iterator()
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 918, in __init__
w.start()
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
reduction.dump(process_obj, to_child)
File "D:\ProgramData\Anaconda3\envs\pytorch\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'MiniImageNet.__init__.<locals>.convert_raw'
请问各位这些是什么意思,且如何解决?
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