Eeh… I’m sorry I’m flooding the forums this last days…
I’m not even sure I should be posting this because it’s an obvious bug. The new version of fastprogress broke fastai because of the auto_update parameter.
TypeError: __init__() got an unexpected keyword argument 'auto_update'
Please let me know if I should stop posting this kind of issues.
Fixed that issue (which probably means you have to use master now since it’s a breaking change between fastprogress 0.1 and 0.2). I’ve tested a few things and it all seem to work but please report any bug with new fastprogress here so that I can fix them ASAP.
Sorry to be bumping this thread, but felt like it’d perhaps be better rather than creating a new one to unnecessarily clutter the board.
While attempting to run the first lesson from fast.ai (on Gradient’s Jupyter Notebooks, over at /course-v3/nbs/dl1/lesson1-pets.ipynb), and whilst executing path = untar_data(URLs.PETS);, I get the same TypeError from OP’s message, which is:
TypeError: __init__() got an unexpected keyword argument 'auto_update'.
Is this still the same issue previously stated or is there a workaround?
This has been fixed in fastai2 but not in fastai which the current course uses. You could either find the Python file which raises the error and apply the changes from this PR https://github.com/fastai/fastai/pull/2440/files or wait for it to be merged and released
I’m using version 1.0.60, but still get the error about “unexpected keyword argument ‘auto_update’”, since the ProgressCallback class, in nb_09c.py still references auto_update.
To fix this I just copied the class directly into my notebook, at the point I wanted to use it, and then got rid of the auto_update: