I am still struggling with this. Given the above approach failed, I tried renaming all the files so that I can use the RegexLabeller approach to get the class names. This didn’t work.
I then tried re-running @muellerzr notebook
But I get the same error when I try to create the dataloaders. Is this an issue with paperspace?
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
in
----> 1 dls = pets_multi.dataloaders(untar_data(URLs.PETS)/“images”, bs=32)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/block.py in dataloaders(self, source, path, verbose, **kwargs)
96
97 def dataloaders(self, source, path=’.’, verbose=False, **kwargs):
—> 98 dsets = self.datasets(source)
99 kwargs = {**self.dls_kwargs, **kwargs, ‘verbose’: verbose}
100 return dsets.dataloaders(path=path, after_item=self.item_tfms, after_batch=self.batch_tfms, **kwargs)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/block.py in datasets(self, source, verbose)
93 splits = (self.splitter or RandomSplitter())(items)
94 pv(f"{len(splits)} datasets of sizes {’,’.join([str(len(s)) for s in splits])}", verbose)
—> 95 return Datasets(items, tfms=self._combine_type_tfms(), splits=splits, dl_type=self.dl_type, n_inp=self.n_inp, verbose=verbose)
96
97 def dataloaders(self, source, path=’.’, verbose=False, **kwargs):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in init(self, items, tfms, tls, n_inp, dl_type, **kwargs)
272 def init(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
273 super().init(dl_type=dl_type)
–> 274 self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
275 self.n_inp = (1 if len(self.tls)==1 else len(self.tls)-1) if n_inp is None else n_inp
276
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in (.0)
272 def init(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
273 super().init(dl_type=dl_type)
–> 274 self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
275 self.n_inp = (1 if len(self.tls)==1 else len(self.tls)-1) if n_inp is None else n_inp
276
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/foundation.py in call(cls, x, args, **kwargs)
39 return x
40
—> 41 res = super().call(((x,) + args), **kwargs)
42 res._newchk = 0
43 return res
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in init(self, items, tfms, use_list, do_setup, split_idx, train_setup, splits, types, verbose)
208 if isinstance(tfms,TfmdLists): tfms = tfms.tfms
209 if isinstance(tfms,Pipeline): do_setup=False
–> 210 self.tfms = Pipeline(tfms, split_idx=split_idx)
211 self.types = types
212 if do_setup:
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/transform.py in init(self, funcs, split_idx)
167 else:
168 if isinstance(funcs, Transform): funcs = [funcs]
–> 169 self.fs = L(ifnone(funcs,[noop])).map(mk_transform).sorted(key=‘order’)
170 for f in self.fs:
171 name = camel2snake(type(f).name)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/foundation.py in sorted(self, key, reverse)
346 elif isinstance(key,int): k=itemgetter(key)
347 else: k=key
–> 348 return self._new(sorted(self.items, key=k, reverse=reverse))
349
350 @classmethod
TypeError: ‘<’ not supported between instances of ‘int’ and ‘L’