CODEWITHSUNDEEP
fast-ai
Borun Chowdhury
Borun Chowdhury

Reputation: 531

Fast Ai: AttributeError: 'Learner' object has no attribute 'fine_tune'

Fast Ai uses a very unconventional style of from fastai import * etc.

I for one do not like it so was painstakingly identifying each import in the chapter 2 of the fastai book but ran into the error

AttributeError: 'Learner' object has no attribute 'fine_tune'

However, when I then go and do

from fastbook import *

it works. This is a very odd behavior in that something is done to the cnn_learner class or the module that contains it making it have the fine_tune method if the above import is done.

I would like to avoid this style of coding, so what should I do to load the correct version of Learner?

Upvotes: 8

Views: 2749

Answers (2)

Matus Dubrava
Matus Dubrava

Reputation: 14502

Fastai does a lot of monkey patching. Not only to its own imports but also to other libraries such as pathlib or torch. I personally don't like this style of coding either but it is what it is.

I would highly recommend creating a separate environment (e.g. through conda), install fastai there and use their from ... import *. I have tried to work around these imports in the past but since you don't know (unless you dig into source) where/what has been monkey patched, you will be running into missing attribute and similar errors all over the place.

Also, it doesn't play nice with some other libraries. I remember having hard time making it work with opencv due to package dependencies, where installing opencv broke some of the fastai's functionality (which I have only found later) due to overriding something that has been patched by fastai in some external library.

Upvotes: 5

Maxime Georges
Maxime Georges

Reputation: 156

I just faced the exact same issue. After looking at one of their tutorial I saw that the cnn learner is not imported from the expected package.

from fastai.vision.all import cnn_learner
# rather than
from fastai.vision.learner import cnn_learner

calling the fine_tune method then works as expected !

Upvotes: 12

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