François Chollet
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?
Can you add the md and ipynb files to the PR?
> 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?