ConvNeXt `classifier_activation=softmax` returns linear layer

[Frightera]

Describe the problem.

Specifying classifier_activation=softmax in ConvNeXt models does not work, instead it returns the model with a linear classifier layer.

Inspecting source code:
https://github.com/keras-team/keras/blob/e6784e4302c7b8cd116b74a784f4b78d60e83c26/keras/applications/convnext.py#L524-L526

Definition of Head function:
https://github.com/keras-team/keras/blob/e6784e4302c7b8cd116b74a784f4b78d60e83c26/keras/applications/convnext.py#L327-L348

Find the Colab gist here.

If OK I can open a PR and fix it.

[innat]

FYI, all models are moving to keras-cv. keras-team/keras-cv#678

[Frightera]

I see, in keras-cv the implementation is correct. Shall I close this issue?

[innat]

Yes, you may. All the models from application will be moved to kcv completely soon.

[innat]

@Frightera please re-open this ticket.

Shall I close this issue?
yes.

I was wrong. This should be discussed and fixed right away.

[Frightera]

@innat Sure, re-opened it. Should be a small and easy fix. I think I can create a PR for that now.

[Frightera]

Closing as PR was merged.