Platform: Kaggle
FastAI version: 2.7.9
DataLoader:
dls = ImageDataLoaders.from_df(
df=train_df,
fn_col=0, label_col=1,
path=paths['competition'],
folder='train',
suff='.tif',
valid_pct=0.2,
seed=CONFIG.seed,
)
Learner:
learn = vision_learner(dls, resnet18, metrics=RocAucBinary(),
path=paths['output'], model_dir=paths['models'])
Finding learning rate:
learn.lr_find()
leads to an error:
TypeError: Exception occured in
LRFinderwhen calling eventbefore_fit:
expected str, bytes or os.PathLike object, not NoneType
Full error
TypeError Traceback (most recent call last)
/tmp/ipykernel_24/2434377672.py in <module>
----> 1 learn.lr_find()
/opt/conda/lib/python3.7/site-packages/fastai/callback/schedule.py in lr_find(self, start_lr, end_lr, num_it, stop_div, show_plot, suggest_funcs)
291 n_epoch = num_it//len(self.dls.train) + 1
292 cb=LRFinder(start_lr=start_lr, end_lr=end_lr, num_it=num_it, stop_div=stop_div)
--> 293 with self.no_logging(): self.fit(n_epoch, cbs=cb)
294 if suggest_funcs is not None:
295 lrs, losses = tensor(self.recorder.lrs[num_it//10:-5]), tensor(self.recorder.losses[num_it//10:-5])
/opt/conda/lib/python3.7/site-packages/fastai/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt, start_epoch)
254 self.opt.set_hypers(lr=self.lr if lr is None else lr)
255 self.n_epoch = n_epoch
--> 256 self._with_events(self._do_fit, 'fit', CancelFitException, self._end_cleanup)
257
258 def _end_cleanup(self): self.dl,self.xb,self.yb,self.pred,self.loss = None,(None,),(None,),None,None
/opt/conda/lib/python3.7/site-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
191
192 def _with_events(self, f, event_type, ex, final=noop):
--> 193 try: self(f'before_{event_type}'); f()
194 except ex: self(f'after_cancel_{event_type}')
195 self(f'after_{event_type}'); final()
/opt/conda/lib/python3.7/site-packages/fastai/learner.py in __call__(self, event_name)
169
170 def ordered_cbs(self, event): return [cb for cb in self.cbs.sorted('order') if hasattr(cb, event)]
--> 171 def __call__(self, event_name): L(event_name).map(self._call_one)
172
173 def _call_one(self, event_name):
/opt/conda/lib/python3.7/site-packages/fastcore/foundation.py in map(self, f, gen, *args, **kwargs)
154 def range(cls, a, b=None, step=None): return cls(range_of(a, b=b, step=step))
155
--> 156 def map(self, f, *args, gen=False, **kwargs): return self._new(map_ex(self, f, *args, gen=gen, **kwargs))
157 def argwhere(self, f, negate=False, **kwargs): return self._new(argwhere(self, f, negate, **kwargs))
158 def argfirst(self, f, negate=False): return first(i for i,o in self.enumerate() if f(o))
/opt/conda/lib/python3.7/site-packages/fastcore/basics.py in map_ex(iterable, f, gen, *args, **kwargs)
838 res = map(g, iterable)
839 if gen: return res
--> 840 return list(res)
841
842 # %% ../nbs/01_basics.ipynb 336
/opt/conda/lib/python3.7/site-packages/fastcore/basics.py in __call__(self, *args, **kwargs)
823 if isinstance(v,_Arg): kwargs[k] = args.pop(v.i)
824 fargs = [args[x.i] if isinstance(x, _Arg) else x for x in self.pargs] + args[self.maxi+1:]
--> 825 return self.func(*fargs, **kwargs)
826
827 # %% ../nbs/01_basics.ipynb 326
/opt/conda/lib/python3.7/site-packages/fastai/learner.py in _call_one(self, event_name)
173 def _call_one(self, event_name):
174 if not hasattr(event, event_name): raise Exception(f'missing {event_name}')
--> 175 for cb in self.cbs.sorted('order'): cb(event_name)
176
177 def _bn_bias_state(self, with_bias): return norm_bias_params(self.model, with_bias).map(self.opt.state)
/opt/conda/lib/python3.7/site-packages/fastai/callback/core.py in __call__(self, event_name)
60 try: res = getcallable(self, event_name)()
61 except (CancelBatchException, CancelBackwardException, CancelEpochException, CancelFitException, CancelStepException, CancelTrainException, CancelValidException): raise
---> 62 except Exception as e: raise modify_exception(e, f'Exception occured in `{self.__class__.__name__}` when calling event `{event_name}`:\n\t{e.args[0]}', replace=True)
63 if event_name=='after_fit': self.run=True #Reset self.run to True at each end of fit
64 return res
/opt/conda/lib/python3.7/site-packages/fastai/callback/core.py in __call__(self, event_name)
58 res = None
59 if self.run and _run:
---> 60 try: res = getcallable(self, event_name)()
61 except (CancelBatchException, CancelBackwardException, CancelEpochException, CancelFitException, CancelStepException, CancelTrainException, CancelValidException): raise
62 except Exception as e: raise modify_exception(e, f'Exception occured in `{self.__class__.__name__}` when calling event `{event_name}`:\n\t{e.args[0]}', replace=True)
/opt/conda/lib/python3.7/site-packages/fastai/callback/schedule.py in before_fit(self)
180 def before_fit(self):
181 super().before_fit()
--> 182 path = self.path/self.model_dir
183 path.mkdir(parents=True, exist_ok=True)
184 self.tmp_d = tempfile.TemporaryDirectory(dir=path)
/opt/conda/lib/python3.7/pathlib.py in __truediv__(self, key)
923
924 def __truediv__(self, key):
--> 925 return self._make_child((key,))
926
927 def __rtruediv__(self, key):
/opt/conda/lib/python3.7/pathlib.py in _make_child(self, args)
702
703 def _make_child(self, args):
--> 704 drv, root, parts = self._parse_args(args)
705 drv, root, parts = self._flavour.join_parsed_parts(
706 self._drv, self._root, self._parts, drv, root, parts)
/opt/conda/lib/python3.7/pathlib.py in _parse_args(cls, args)
656 parts += a._parts
657 else:
--> 658 a = os.fspath(a)
659 if isinstance(a, str):
660 # Force-cast str subclasses to str (issue #21127)
TypeError: Exception occured in `LRFinder` when calling event `before_fit`:
expected str, bytes or os.PathLike object, not NoneType
By the way, it worked beforehand, yet I don’t know what I exactly changed meanwhile that I cannot reproduce anymore.
!