Not sure whether this is expected, first steps with v2.
Absolutely fresh conda install, everything according to readmes, pip -e installs of both fastai2 and fastcore. Zero changes to anything, everything fresh out of the box.
When running the 22_tutorial.imagenette notebook, everything up to and including training with fit works fine, but fails afterwards for:
t = learn.predict(tst_item)
with error:
/Data/Code/fastai/fastcore/fastcore/foundation.py in _get(self, i)
318
319 def _get(self, i):
--> 320 if is_indexer(i) or isinstance(i,slice): return getattr(self.items,'iloc',self.items)[i]
321 i = mask2idxs(i)
322 return (self.items.iloc[list(i)] if hasattr(self.items,'iloc')
IndexError: list index out of range
full stacktrace below this message.
last commit fastai2 master:
commit 9f84496b5b324fc8b1104028fcd25ad62e7673f4 (HEAD -> master, origin/master, origin/HEAD)
Merge: f71dc53 096d8c1
Author: Jeremy Howard <j@fast.ai>
Date: Sat Feb 22 18:03:20 2020 -0800
Not sure whether this is expected, first steps with v2. Absolutely fresh conda install, everything according to readmes, pip -e installs of both fastai2 and fastcore. Zero changes to anything, everything fresh out of the box.
When running the 22_tutorial.imagenette notebook, everything up to and including training with fit works fine, but fails afterwards for:
t = learn.predict(tst_item)
with error:full stacktrace below this message.
last commit fastai2 master:
last commit fastcore:
pytorch version (as installed by requirements.yml):
pytorch 1.4.0 (py3.7_cuda10.1.243_cudnn7.6.3_0 pytorch)
Full stacktrace: