Results 342 comments of François Chollet

I agree that we need to remove the TF required dependency. There are several reasons why this is not possible right now: - We use `tf.nest` for processing nested Python...

I'd rather we standardize the docstrings on either `Examples:` or `Example:` or `Usage:`.

I would recommend converting all the titles containing "usage" to just "Example usage:"

@mattdangerw Can you take a look?

I'm seeing the following error on CI: > 6.609 AttributeError: module 'keras_cv.models' has no attribute 'SegFormerB0' What is the issue?

> kernal stopped after 24 hours in my macbook automatically at 46th epoch out of 50 epochs You're going to need a GPU VM (like a V100), running on CPU...

I think you can just omit `y_true.set_shape([None, None])`.

@mjang2000 Amy, could you please take a look at this, if you have the bandwidth? It seems we should take the same approach as for the pneumonia dataset files.

I cannot reproduce the issue with the latest version of keras-nlp (0.7.0). What version are you using?