RuntimeError Traceback (most recent call last)
in
----> 1 learn.lr_find()
c:\users\mohammad attaullah\fastai\fastai\callback\schedule.py in lr_find(self, start_lr, end_lr, num_it, stop_div, show_plot, suggestions)
226 n_epoch = num_it//len(self.dls.train) + 1
227 cb=LRFinder(start_lr=start_lr, end_lr=end_lr, num_it=num_it, stop_div=stop_div)
–> 228 with self.no_logging(): self.fit(n_epoch, cbs=cb)
229 if show_plot: self.recorder.plot_lr_find()
230 if suggestions:
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\lib\site-packages\fastcore\logargs.py in _f(*args, **kwargs)
54 init_args.update(log)
55 setattr(inst, ‘init_args’, init_args)
—> 56 return inst if to_return else f(*args, **kwargs)
57 return _f
c:\users\mohammad attaullah\fastai\fastai\learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
205 self.opt.set_hypers(lr=self.lr if lr is None else lr)
206 self.n_epoch = n_epoch
–> 207 self._with_events(self._do_fit, ‘fit’, CancelFitException, self._end_cleanup)
208
209 def _end_cleanup(self): self.dl,self.xb,self.yb,self.pred,self.loss = None,(None,),(None,),None,None
c:\users\mohammad attaullah\fastai\fastai\learner.py in with_events(self, f, event_type, ex, final)
153
154 def with_events(self, f, event_type, ex, final=noop):
–> 155 try: self(f’before{event_type}’) ;f()
156 except ex: self(f’after_cancel{event_type}’)
157 finally: self(f’after_{event_type}’) ;final()
c:\users\mohammad attaullah\fastai\fastai\learner.py in _do_fit(self)
195 for epoch in range(self.n_epoch):
196 self.epoch=epoch
–> 197 self._with_events(self._do_epoch, ‘epoch’, CancelEpochException)
198
199 @log_args(but=‘cbs’)
c:\users\mohammad attaullah\fastai\fastai\learner.py in with_events(self, f, event_type, ex, final)
153
154 def with_events(self, f, event_type, ex, final=noop):
–> 155 try: self(f’before{event_type}’) ;f()
156 except ex: self(f’after_cancel{event_type}’)
157 finally: self(f’after_{event_type}’) ;final()
c:\users\mohammad attaullah\fastai\fastai\learner.py in _do_epoch(self)
189
190 def _do_epoch(self):
–> 191 self._do_epoch_train()
192 self._do_epoch_validate()
193
c:\users\mohammad attaullah\fastai\fastai\learner.py in _do_epoch_train(self)
181 def _do_epoch_train(self):
182 self.dl = self.dls.train
–> 183 self._with_events(self.all_batches, ‘train’, CancelTrainException)
184
185 def _do_epoch_validate(self, ds_idx=1, dl=None):
c:\users\mohammad attaullah\fastai\fastai\learner.py in with_events(self, f, event_type, ex, final)
153
154 def with_events(self, f, event_type, ex, final=noop):
–> 155 try: self(f’before{event_type}’) ;f()
156 except ex: self(f’after_cancel{event_type}’)
157 finally: self(f’after_{event_type}’) ;final()
c:\users\mohammad attaullah\fastai\fastai\learner.py in all_batches(self)
159 def all_batches(self):
160 self.n_iter = len(self.dl)
–> 161 for o in enumerate(self.dl): self.one_batch(*o)
162
163 def _do_one_batch(self):
c:\users\mohammad attaullah\fastai\fastai\data\load.py in iter(self)
100 self.before_iter()
101 self.__idxs=self.get_idxs() # called in context of main process (not workers/subprocesses)
–> 102 for b in _loadersself.fake_l.num_workers==0:
103 if self.device is not None: b = to_device(b, self.device)
104 yield self.after_batch(b)
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\lib\site-packages\torch\utils\data\dataloader.py in init(self, loader)
799 # before it starts, and del tries to join but will get:
800 # AssertionError: can only join a started process.
–> 801 w.start()
802 self._index_queues.append(index_queue)
803 self._workers.append(w)
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\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
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\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):
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\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):
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\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)
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\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 #
c:\users\mohammad attaullah\anaconda3\envs\fastai_v2\lib\site-packages\torch\multiprocessing\reductions.py in reduce_storage(storage)
308 from . import get_sharing_strategy
309 if storage.is_cuda:
–> 310 raise RuntimeError(“Cannot pickle CUDA storage; try pickling a CUDA tensor instead”)
311 elif get_sharing_strategy() == ‘file_system’:
312 metadata = storage.share_filename()
RuntimeError: Cannot pickle CUDA storage; try pickling a CUDA tensor instead