Should learn.save() be saving the models in the default fastai config folder for models?
'model_path': '~/.fastai/models'
Datasets are being downloaded as expected to the ~/.fastai/data folder, but the models don’t appear to be doing so when I do learn.save(). I looked through the library code for Learner, and I couldn’t find where this read from the Config class (but I might be missing something). Just wanted to see if that was the expectation when doing learn.save() and learn.load().
They get stored within your {path}/models folder with extension ‘.pth’. These are kind of hidden.
Do ls *.pth
inside your local dir.
Models are saved using Pytorch’s default serialization method.
Actually, (at least in 1.0.15.dev0) learn.save by default saves in a local “models” directory…
Which is better than a global directory, as very soon we can’t keep up as to what saved model belongs to what notebook…
What’s the rationale for fastai library putting the models folder within the datasets?
I’m re-running my week one notebook and my preprocessing for the input data (which is a bunch of pictures within labeled folders) is now also hilariously running through the models folder, and changing their names to models_01.png (which is what my little preprocessing cell was doing).
It feels like we will always have to be careful to blacklist the models folder within our datasets. Am I thinking about this incorrectly?
