hx-idiot / dynamic-few-shot-visual-learning-without-forgetting Goto Github PK

Which pytorch version?

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----pre-train----
----epoch: 0----

AttributeError Traceback (most recent call last)
in
28 classifier.train()
29
---> 30 for batch in tqdm(dloader_train(ep)):
31 assert(len(batch)==4)
32

F:\Program\Anaconda3\lib\site-packages\tqdm\std.py in iter(self)
1091 fp_write=getattr(self.fp, 'write', sys.stderr.write))
1092
-> 1093 for obj in iterable:
1094 yield obj
1095 # Update and possibly print the progressbar.

F:\Program\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in iter(self)
276 return _SingleProcessDataLoaderIter(self)
277 else:
--> 278 return _MultiProcessingDataLoaderIter(self)
279
280 @Property

F:\Program\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py in init(self, loader)
680 # before it starts, and del tries to join but will get:
681 # AssertionError: can only join a started process.
--> 682 w.start()
683 self.index_queues.append(index_queue)
684 self.workers.append(w)

F:\Program\Anaconda3\lib\multiprocessing\process.py in start(self)
110 'daemonic processes are not allowed to have children'
111 _cleanup()
--> 112 self._popen = self._Popen(self)
113 self._sentinel = self._popen.sentinel
114 # Avoid a refcycle if the target function holds an indirect

F:\Program\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):

F:\Program\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):

F:\Program\Anaconda3\lib\multiprocessing\popen_spawn_win32.py in init(self, process_obj)
87 try:
88 reduction.dump(prep_data, to_child)
---> 89 reduction.dump(process_obj, to_child)
90 finally:
91 set_spawning_popen(None)

F:\Program\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 #

AttributeError: Can't pickle local object 'FewShotDataloader.get_iterator..load_function'