@nok Are you running from the github repo or the pip/conda install? I would personally suggest using the fastai package from conda or pip as that will be the most stable version since the repo is under active development and could contain bugs. (install instructions here: https://github.com/fastai/fastai#conda-install)
See screenshot below where I ran the notebook with fastai v1 and it seems to be working great…note that I did use the notebook version prior to some recent changes made in the past 24 hours
@jamesrequa I run from the github repo, the thing is the examples notebook was changed as well.
for example, the data is now data = ImageDataBunch.from_folder(path, ds_tfms=get_transforms(), tfms=imagenet_norm, size=224)
So you are suggesting using the pip fastai package and remove the symlink?
Yeah if you are using the pip or conda install, you don’t need a symlink, the import statements will take care of it. Just create a new notebook separate from the repo so it won’t pull from that.
Yeah those were the changes I was referring to. My guess is everything will be working great by the time class starts But in the meantime, I just used image_data_from_folder since ImageDataBunch wasn’t included in the install package yet (as of fastai v1.0.5 when I last checked).
I try git checkout tag 1.0.5 and remove the symlink, I make sure the fastai.version is 1.0.5 as well, I still get NaN though. If you read the thread below, it seems that it was cause by one of the transformation, but I cannot go deeper to debug effective for now as I am not familiar with the source yet…
This is another thread that discussing this issue.