Fixing notebook 1: ConvLearner not found

[fkautz (Frederick Kautz)]

In the latest master branch, ConvLearner has been replaced with create_cnn

ConvLearner(data, models.resnet34, metrics=error_rate)

now becomes

create_cnn(data, models.resnet34, metrics=error_rate)

[jeremy (Jeremy Howard)]

Yup - everyone should ensure that they notifications turned on for the official updates thread, since any breaking changes are announced there:

Lesson 1 official resources and updates ✅

Note that after you conda update and git pull, you’ll find that there’s been one change to fastai - ConvLearner is now called create_cnn. You’ll need to make that change in any notebooks that you’ve created too.

[astronomy88 (Harold)]

In lesson1, I get the following after I “git pull”:

[astronomy88 (Harold)]

It works now after I issued the following commands also:

conda install -c pytorch pytorch-nightly cuda92
conda install -c fastai torchvision-nightly
conda install -c fastai fastai

[jeremy (Jeremy Howard)]

In lesson1, I get the following after I “git pull”:

When returning to work, follow all the steps at http://course-v3.fast.ai :

[ste (Stefano Giomo)]

I’m using Developer Install and to fix it i’ve run first:

conda install -c pytorch pytorch-nightly cuda92
conda install -c fastai torchvision-nightly

and then inside fastai root folder:

pip install -e .[dev]

Otherwise I’ve got this error:

...
~/work/fastai/fastai/basic_train.py in on_train_begin(self, pbar, metrics_names, **kwargs)
    241         self.pbar = pbar
    242         self.names = ['epoch', 'train_loss', 'valid_loss'] + metrics_names
--> 243         self.pbar.write('  '.join(self.names), table=True)
    244         self.losses,self.val_losses,self.lrs,self.moms,self.metrics,self.nb_batches = [],[],[],[],[],[]
    245 

TypeError: write() got an unexpected keyword argument 'table'

[iamgianluca (Gianluca)]

As suggested by @smugger, updating fastprogress will fix the issue.

Developer chat

You have to also update fastprogress to 1.0.12.

[jeremy (Jeremy Howard)]

With a dev install you have to manually update deps. In this case, your fastprogress lib is out of date.

[wgpubs (WG)]

Is there a way to just update the packages associated to a specific channel?

Tried: conda update -c fastai --override-channels --all … but if failed to pick up the lastest fastprogress package. I had to update that one individually via conda update -c fastai fastprogress.

[lazy_learner (Robin Thakur)]

Thanks