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aksh-ai / neuralBlack

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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OSError: [Errno 22] Invalid argument #2

Open mahmoudmelsayed opened 4 years ago

mahmoudmelsayed commented 4 years ago

When I run the training loop, I get the following error:

_--------------------------------------------------------------------------- OSError Traceback (most recent call last)

in () 20 21 # train in batches ---> 22 for b, (y, X) in enumerate(train_gen): 23 # set label as cuda if device is cuda 24 X, y = X.to(device), y.to(device) ~\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in __iter__(self) 499 500 def __iter__(self): --> 501 return _DataLoaderIter(self) 502 503 def __len__(self): ~\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in __init__(self, loader) 287 for w in self.workers: 288 w.daemon = True # ensure that the worker exits on process exit --> 289 w.start() 290 291 _update_worker_pids(id(self), tuple(w.pid for w in self.workers)) ~\Anaconda3\lib\multiprocessing\process.py in start(self) 103 'daemonic processes are not allowed to have children' 104 _cleanup() --> 105 self._popen = self._Popen(self) 106 self._sentinel = self._popen.sentinel 107 # Avoid a refcycle if the target function holds an indirect ~\Anaconda3\lib\multiprocessing\context.py in _Popen(process_obj) 221 @staticmethod 222 def _Popen(process_obj): --> 223 return _default_context.get_context().Process._Popen(process_obj) 224 225 class DefaultContext(BaseContext): ~\Anaconda3\lib\multiprocessing\context.py in _Popen(process_obj) 320 def _Popen(process_obj): 321 from .popen_spawn_win32 import Popen --> 322 return Popen(process_obj) 323 324 class SpawnContext(BaseContext): ~\Anaconda3\lib\multiprocessing\popen_spawn_win32.py in __init__(self, process_obj) 63 try: 64 reduction.dump(prep_data, to_child) ---> 65 reduction.dump(process_obj, to_child) 66 finally: 67 set_spawning_popen(None) ~\Anaconda3\lib\multiprocessing\reduction.py in dump(obj, file, protocol) 58 def dump(obj, file, protocol=None): 59 '''Replacement for pickle.dump() using ForkingPickler.''' ---> 60 ForkingPickler(file, protocol).dump(obj) 61 62 # OSError: [Errno 22] Invalid argument I assumed it could be because of the large size of the pickle file so I changed the loading command to the code in this link:https://www.programmersought.com/article/3832726678/ but yet I am still getting the same error..
nayana-v commented 3 years ago

Did anyone solved that error?