(@ecdrid , that’s what I would like not to do if its possible, not to loose things already there 
)
I @miguel_perez unfortunately once a machine is made we cannot overwrite it without deleting all data. I would recommend creating a new machine or you could also upgrade Pytorch to 0.3 on your existing machine which is what caused the issue.
Unfortunately that requires a little bit of legwork.
Another option would be to shoot an email to support@paperspace.com and they can convert you to a “team” which will give you access to shared drives. Then your data can live on a single drive that is shared among many instances.
Sorry none of these are ideal 
We are really working hard to streamline this process and should have some new announcements soon.
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@dillon, thanks for your answer, its ok, I will drop my current machine and create a new one, it is not such a big deal 
I had a small suggestion for the learn.fit() functions, these take about 5-10 minutes on p2 instances during which I read some other stuff. Is it possible to make a notification sound once the fitting finishes to avoid keeping them in idle states?
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@init_27 I havent tryied it but maybe you can check this out : https://gist.github.com/iandanforth/fd9c98dc485592e354974e394ff6ae28
To verify that you’ve installed pillow-simd (a faster version of pillow) you can enter the following in Python:
import PIL
PIL.__version__
And you should see a version number (at or above 4.3.0) and most importantly something like “post0” at the end:
Out[2]:
'4.3.0.post0'
And not:
Out[2]:
'4.3.0'
(I’m storing this piece of knowledge here for my future self and anyone else who can use it.)
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It’s not important any more however, since we use opencv, not Pillow.
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All,
This might help someone having problems updating the conda env. Had been a while I hadn’t updated my environment. On trying to update using the recommended command:
conda env update
I got a rather unhelpful message:
NoPackagesFoundError: Dependencies missing in current linux-64 channels:
- pytorch >=0.2.0 -> mkl >=2018
- torchvision >=0.1.9 -> pytorch >=0.3 -> mkl >=2018
Panicked around a bit. Finally, the following worked for me:
- Activate the conda environment using:
source activate fastai - Then update conda:
conda update conda - Then update the env:
conda env update
2 Likes
Oh, thanks… even i encountered this and was wondering why… BTW, is there any material that can compare openCV to PIL?